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2195 questions

Question 2161Question

Consider the following argument:

In an effort to curb carbon emissions from aviation, international maritime and aviation bodies have proposed mandating that airlines blend synthetic sustainable aviation fuel (SAF) into standard jet kerosene supplies by 2030. Critics contend that synthetic SAF remains significantly more costly to synthesize, threatening airline profit margins. However, because synthetic SAF is chemically compatible with existing airport fueling infrastructure and does not require modifications to modern aircraft engines, adopting this blending quota is currently the most practical path toward near-term fleet decarbonization. Therefore, aviation regulators ought to proceed with enforcing the proposed SAF blending mandate as planned.

Statement: The assertion that synthetic SAF is chemically compatible with existing airport fueling infrastructure represents the ultimate main conclusion of the argument.

Show answer & explanation

Answer: False

Answer

False. The statement misidentifies a supporting premise as the main conclusion.
The statement is false. In the argument, the author cites synthetic SAF's compatibility with existing infrastructure as a factual premise to demonstrate that the fuel blending strategy is practical. This premise supports the intermediate point about practicality, which ultimately leads to the author's main conclusion expressed in the final sentence: that regulators should proceed with enforcing the SAF blending mandate.

Step-by-Step Solution

1
Analyze the structural role of each claim in the argument.
The argument presents a proposal, notes a counterargument regarding high production costs, counters that objection with points about infrastructure compatibility and lack of retrofits, and finishes with a policy recommendation.
Deconstructing the argument structure separates contextual facts, opposing views, supporting premises, and the author's final position.
2
Identify the ultimate main conclusion of the passage.
The final sentence ('Therefore, aviation regulators ought to proceed with enforcing the proposed SAF blending mandate as planned') is the ultimate main conclusion.
The word 'Therefore' signals the main claim that all prior premises and rebuttals are assembled to justify.
3
Evaluate the specific statement in the question prompt.
The claim regarding infrastructure compatibility provides supporting factual evidence (a premise) rather than the main conclusion, making the statement false.
A claim that provides reasons or evidence in support of a further assertion is a premise, not the final main conclusion.

Key Concept

Distinguishing Supporting Premises from Main Conclusions
Question 2162Question

Recent advancements in artificial intelligence allow pharmaceutical companies to screen billions of candidate molecules in virtual simulations, significantly accelerating early-stage drug discovery. Consequently, many industry analysts predict that total drug development costs will fall dramatically over the next decade. However, high-throughput computational screening frequently generates false positives—molecules that appear promising in simulations but fail during late-stage human clinical trials, where the vast majority of R&D budgets are consumed. Therefore, contrary to industry expectations, total pharmaceutical research expenditures are unlikely to decline significantly without major innovations in clinical trial methodology.

Which of the following best expresses the main conclusion of the argument above?

Show answer & explanation

Answer: Total pharmaceutical research expenditures are unlikely to decline significantly without major innovations in clinical trial methodology.

Answer

Total pharmaceutical research expenditures are unlikely to decline significantly without major innovations in clinical trial methodology.
The author constructs an argument designed to counter a popular industry prediction. After describing how AI speeds up initial molecule screening, the author introduces a pivot with 'However', explaining that false positives still lead to costly late-stage trial failures. The main conclusion, signaled by 'Therefore', is that total R&D spending will not decrease significantly unless clinical trial methods are fundamentally improved.

Step-by-Step Solution

1
Identify the background context and the opposing claim.
The argument begins by acknowledging that AI accelerates early drug discovery, leading analysts to predict a major drop in overall development costs.
Establishing the prevailing industry belief sets up the counter-position that the author intends to challenge.
2
Locate the structural pivot and key supporting premise.
The transition word 'However' introduces the fact that AI models produce false positives that fail in expensive late-stage clinical trials.
This premise explains why early-stage speed gains do not automatically reduce total expenditures.
3
Identify the main conclusion introduced by the conclusion marker.
The keyword 'Therefore' signals the author's ultimate claim: total spending is unlikely to drop significantly without major clinical trial innovations.
This claim synthesizes the evidence to refute the initial prediction made by industry analysts.

Key Concept

Identifying Main Conclusions
Estimated Time:1m 50s
Question 2163Question

An automated data processing node manages a queue of records across three sequential processing stages (k=1,2,3k = 1, 2, 3). The initial batch size at stage k=0k = 0 is N0=400N_0 = 400 records. In each stage kk, the batch size undergoes two consecutive transitions:
1. The batch size is reduced by 50%50\% due to quality filtering.
2. Exactly 120120 newly verified records are added to the batch.

Which of the following statements regarding the batch size across these stages are correct? Select all that apply.

Select all that apply

Show answer & explanation

Answer: The batch size at the end of Stage 1 (N1N_1) is 320320 records.; The batch size at the end of Stage 3 (N3N_3) is 260260 records.; The total net reduction in batch size from the start of Stage 1 to the end of Stage 3 is 140140 records.

Answer

The correct statements are: the batch size at the end of Stage 1 is 320 records; the batch size at the end of Stage 3 is 260 records; and the total net reduction from Stage 1 to Stage 3 is 140 records.
Evaluating each stage sequentially shows: Stage 1 ends with 320 records (400 halved to 200, plus 120); Stage 2 ends with 280 records (320 halved to 160, plus 120); Stage 3 ends with 260 records (280 halved to 140, plus 120). Subtracting the final count of 260 from the initial count of 400 gives a net decrease of 140 records.

Step-by-Step Solution

1
Calculate state transitions for Stage 1 (k=1k = 1).
Initial N0=400N_0 = 400. Filtering reduces count to 400×0.5=200400 \times 0.5 = 200. Adding 120 records gives N1=200+120=320N_1 = 200 + 120 = 320.
Tracking each sub-step sequentially is necessary to determine the state at the end of Stage 1.
2
Calculate state transitions for Stage 2 (k=2k = 2).
Filtering reduces count to 320×0.5=160320 \times 0.5 = 160. Adding 120 records gives N2=160+120=280N_2 = 160 + 120 = 280.
Stage 2 operates on the output state of Stage 1 (N1=320N_1 = 320).
3
Calculate state transitions for Stage 3 (k=3k = 3).
Filtering reduces count to 280×0.5=140280 \times 0.5 = 140. Adding 120 records gives N3=140+120=260N_3 = 140 + 120 = 260.
Stage 3 operates on the output state of Stage 2 (N2=280N_2 = 280).
4
Evaluate the net overall change from start to end.
Net reduction = N0N3=400260=140N_0 - N_3 = 400 - 260 = 140 records.
Comparing initial state N0N_0 and final state N3N_3 gives the overall change.

Key Concept

Sequential state transitions require updating the system state step-by-step without omitting intermediate additions or reductions.
Estimated Time:1m 30s
Question 2164Question

Consider the following argument:

To reduce water consumption, a semiconductor manufacturing plant plans to replace its traditional chemical-mechanical polishing (CMP) liquid slurry rinsing system with a dry electrostatic aerosol cleaning process. Plant management claims that this transition will significantly lower the facility's overall monthly operating expenses.

Statement: The argument relies on the unstated assumption that the electrical energy required to operate the dry electrostatic aerosol cleaning system will not incur operational costs that exceed the financial savings achieved from reduced water usage.

Show answer & explanation

Answer: True

Answer

True
The statement is True. The conclusion makes a claim regarding net financial outcomes (overall monthly operating expenses). The premise only establishes a savings in one specific input (water). For a reduction in one input to guarantee a overall cost reduction, additional energy costs introduced by the new machinery cannot exceed the savings generated from the reduced water usage. Negating this claim directly invalidates the author's conclusion.

Step-by-Step Solution

1
Deconstruct the argument into premise and conclusion.
Premise: The plant is switching from a liquid slurry rinse to a dry electrostatic aerosol process to reduce water consumption. Conclusion: This transition will significantly lower overall monthly operating expenses.
Identifying the gap between reducing a single resource (water) and lowering overall expenses requires analyzing all potential cost shifts.
2
Apply the Negation Test to the assumed statement.
Negated statement: The electrical energy required to run the aerosol system DOES create operational costs that exceed the financial savings from reduced water usage.
If the negated assumption is true, total operating expenses will net an increase, causing the main conclusion to collapse.
3
Determine necessity of the unstated claim.
Because the collapse of the conclusion under negation proves the claim is essential, the original statement is a required unstated assumption.
A valid unstated assumption in GMAT Critical Reasoning must be a necessary condition for the conclusion to hold.

Key Concept

Identifying Unstated Assumptions via the Negation Test
Estimated Time:1m 30s
Question 2165Question

Hospital administrators frequently advocate shortening emergency department nursing shifts from twelve hours to eight hours, contending that shorter shifts reduce nurse fatigue and decrease clinical errors. However, medical board statistics demonstrate that handover transitions between shifts account for over sixty percent of preventable communication errors in patient care. Because implementing shorter shifts would inevitably increase the total number of daily handovers required per patient, mandatory shift shortening will ultimately decrease overall patient safety in emergency departments.

Which of the following best expresses the main conclusion of the argument above?

Show answer & explanation

Answer: Mandatory shift shortening will ultimately lead to a net reduction in patient safety in emergency departments.

Answer

The main conclusion of the argument is that mandatory shift shortening will ultimately decrease overall patient safety in emergency departments.
The correct answer accurately reflects the ultimate claim of the argument: that adopting mandatory shorter shifts will lead to decreased patient safety overall. The argument establishes that handover errors comprise most preventable errors, that shorter shifts increase handovers, and concludes that patient safety will consequently drop.

Step-by-Step Solution

1
Analyze the structure of the argument to isolate premises, background context, and structural pivots.
Identified the administrators' view as background context, followed by a contrastive pivot ('However') introducing evidence about handover transition errors.
Contrastive pivots frequently signal a turn toward the author's primary position.
2
Distinguish between intermediate support claims and the main conclusion.
The claim that shorter shifts increase daily handovers supports the final claim introduced by the conclusion indicator 'will ultimately'.
The main conclusion must be the final claim that receives support from all other premises and sub-conclusions in the text.
3
Select the option that accurately captures the author's ultimate claim without overstepping passage bounds.
The statement regarding net reduction in patient safety directly matches the argument's final sentence and ultimate assertion.
The ultimate assertion expresses the core takeaway that the author set out to prove.

Key Concept

Identifying Main Conclusions
Question 2166Question

A digital payment platform processes a batch of N0=1000N_0 = 1{}000 transactions through four sequential verification stages (k=1,2,3,4k = 1, 2, 3, 4). The transition rules for the transaction count NkN_k at each stage kk are defined as follows:

* Stage 1 (Fraud Filter): 10%10\% of the current batch transactions are flagged and removed, after which 5050 system control transactions are added.
* Stage 2 (Currency Verification): 20%20\% of the current batch transactions are each split into two separate micro-transactions (increasing the net transaction count by 20%20\% of the incoming batch), after which 4040 invalid transactions are purged.
* Stage 3 (Settlement Reconciliation): The batch transaction count decreases by 15%15\% due to netting, after which 150150 pending transactions are merged into the batch.
* Stage 4 (Archival Audit): 20%20\% of the current batch transactions are archived (retaining 80%80\% in the active batch), after which 120120 final clearance tokens are added to the batch.

Place the four stages in order of their final batch transaction counts (NkN_k), from lowest transaction count to highest transaction count.

Drag items to arrange them in the correct order

Show answer & explanation

Answer

The correct order from lowest transaction count to highest transaction count is Stage 1 (950), Stage 4 (988), Stage 3 (1,085), and Stage 2 (1,100).
Evaluating the sequential state transitions step by step yields N1=950N_1 = 950, N2=1100N_2 = 1{}100, N3=1085N_3 = 1{}085, and N4=988N_4 = 988. Ordering these four outputs from smallest to largest yields Stage 1 (950950), Stage 4 (988988), Stage 3 (10851{}085), and Stage 2 (11001{}100).

Step-by-Step Solution

1
Calculate the transaction count at the end of Stage 1 (N1N_1).
N1=10000.10(1000)+50=900+50=950N_1 = 1{}000 - 0.10(1{}000) + 50 = 900 + 50 = 950.
Apply the 10%10\% reduction followed by adding 5050 control transactions to the initial batch of 10001{}000.
2
Calculate the transaction count at the end of Stage 2 (N2N_2).
N2=950+0.20(950)40=950+19040=1100N_2 = 950 + 0.20(950) - 40 = 950 + 190 - 40 = 1{}100.
Apply the 20%20\% net split increase to N1=950N_1 = 950 and subtract 4040 purged transactions.
3
Calculate the transaction count at the end of Stage 3 (N3N_3).
N3=11000.15(1100)+150=1100165+150=1085N_3 = 1{}100 - 0.15(1{}100) + 150 = 1{}100 - 165 + 150 = 1{}085.
Reduce N2=1100N_2 = 1{}100 by 15%15\% and add 150150 merged transactions.
4
Calculate the transaction count at the end of Stage 4 (N4N_4).
N4=0.80(1085)+120=868+120=988N_4 = 0.80(1{}085) + 120 = 868 + 120 = 988.
Retain 80%80\% of N3=1085N_3 = 1{}085 (20%20\% archived) and add 120120 clearance tokens.
5
Order the resulting values from lowest to highest.
950<988<1085<1100950 < 988 < 1{}085 < 1{}100, corresponding to Stage 1, Stage 4, Stage 3, Stage 2.
Compare the numerical results across all four steps to establish the ascending order.

Key Concept

Sequential Process State Tracking
Estimated Time:2m 0s
Question 2167Question

An automated smart climate controller regulates room temperature (TT, in C{}^\circ\text{C}) and relative humidity (HH, in %\%) across three sequential hourly cycles (k=1,2,3k = 1, 2, 3). The initial state at cycle k=0k = 0 is T0=24CT_0 = 24^\circ\text{C} and H0=60%H_0 = 60\%.

At the end of each hourly cycle kk, the new state (Tk,Hk)(T_k, H_k) is updated according to the following transition rules:
- Tk=Tk12T_k = T_{k-1} - 2 if Hk150%H_{k-1} \ge 50\%; otherwise, Tk=Tk1+1T_k = T_{k-1} + 1
- Hk=Hk110H_k = H_{k-1} - 10 if Tk1>20T_{k-1} > 20; otherwise, Hk=Hk1+5H_k = H_{k-1} + 5

Which of the following statements regarding the system's state are correct? Select all that apply.

Select all that apply

Show answer & explanation

Answer: The temperature at the end of cycle 3 is 21C21^\circ\text{C}.; The relative humidity at the end of cycle 3 is 45%45\%.

Answer

The temperature at the end of cycle 3 is 21C21^\circ\text{C} and the relative humidity at the end of cycle 3 is 45%45\%.
Evaluating the state transitions step-by-step shows:
- Cycle 1: T1=22C,H1=50%T_1 = 22^\circ\text{C}, H_1 = 50\%
- Cycle 2: T2=20C,H2=40%T_2 = 20^\circ\text{C}, H_2 = 40\%
- Cycle 3: T3=21C,H3=45%T_3 = 21^\circ\text{C}, H_3 = 45\%
Therefore, the statements confirming that the temperature at the end of cycle 3 is 21C21^\circ\text{C} and that the relative humidity at the end of cycle 3 is 45%45\% are both correct.

Step-by-Step Solution

1
Calculate state at cycle k=1k = 1 from initial state (T0,H0)=(24,60)(T_0, H_0) = (24, 60).
T1=242=22CT_1 = 24 - 2 = 22^\circ\text{C} (since H0=6050H_0 = 60 \ge 50); H1=6010=50%H_1 = 60 - 10 = 50\% (since T0=24>20T_0 = 24 > 20).
Apply transition rules based on conditions satisfied by cycle 0 values.
2
Calculate state at cycle k=2k = 2 from state (T1,H1)=(22,50)(T_1, H_1) = (22, 50).
T2=222=20CT_2 = 22 - 2 = 20^\circ\text{C} (since H1=5050H_1 = 50 \ge 50); H2=5010=40%H_2 = 50 - 10 = 40\% (since T1=22>20T_1 = 22 > 20).
Apply transition rules based on conditions satisfied by cycle 1 values.
3
Calculate state at cycle k=3k = 3 from state (T2,H2)=(20,40)(T_2, H_2) = (20, 40).
T3=20+1=21CT_3 = 20 + 1 = 21^\circ\text{C} (since H2=40<50H_2 = 40 < 50); H3=40+5=45%H_3 = 40 + 5 = 45\% (since T2=20T_2 = 20 is NOT strictly greater than 2020).
Carefully check strict inequalities (T2>20T_2 > 20 is false for T2=20T_2 = 20) and update parameters accordingly.

Key Concept

Sequential State Transitions with Conditional Updates
Question 2168Question

A digital streaming platform processes high-definition video files using two server clusters, Cluster A and Cluster B.

- Cluster A processes video data at a constant rate of 100 GB/hour100\text{ GB/hour}, and 18%18\% of its processed data requires secondary re-encoding.
- Cluster B processes video data at a constant rate of 200 GB/hour200\text{ GB/hour}, and 8%8\% of its processed data requires secondary re-encoding.

During a processing cycle, the platform processed a total of 3,000 GB3,000\text{ GB} of video data across both clusters, and exactly 12%12\% of the total processed data required secondary re-encoding.

Which of the following correctly pairs the operating time of Cluster A and the operating time of Cluster B during this cycle?

Show answer & explanation

Answer: 12 hours for Cluster A, and 9 hours for Cluster B

Answer

12 hours for Cluster A, and 9 hours for Cluster B
The solution requires calculating the data volume processed by each cluster using a weighted average equation, and then dividing each volume by its respective processing rate. Cluster A processed 1,200 GB over 12 hours (at 100 GB/hour), and Cluster B processed 1,800 GB over 9 hours (at 200 GB/hour).

Step-by-Step Solution

1
Calculate total re-encoded data volume from the combined percentage.
Total re-encoded data = 0.12×3,000 GB=360 GB0.12 \times 3,000\text{ GB} = 360\text{ GB}.
Knowing the total batch volume and overall percentage gives the exact amount of data re-encoded.
2
Formulate equations for total data and re-encoded data in terms of volume processed by Cluster A (DAD_A) and Cluster B (DBD_B).
DA+DB=3,000D_A + D_B = 3,000 and 0.18DA+0.08DB=3600.18 D_A + 0.08 D_B = 360.
Expressing both given constraints as a system of simultaneous linear equations.
3
Solve for DAD_A and DBD_B.
Substitute DB=3,000DAD_B = 3,000 - D_A into the second equation: 0.18DA+0.08(3,000DA)=360    0.10DA=120    DA=1,200 GB0.18 D_A + 0.08(3,000 - D_A) = 360 \implies 0.10 D_A = 120 \implies D_A = 1,200\text{ GB}, so DB=1,800 GBD_B = 1,800\text{ GB}.
Isolating DAD_A determines the exact volume processed by each cluster.
4
Convert data volumes to operating hours using cluster processing rates.
Cluster A operating time = 1,200 GB/100 GB/hour=12 hours1,200\text{ GB} / 100\text{ GB/hour} = 12\text{ hours}; Cluster B operating time = 1,800 GB/200 GB/hour=9 hours1,800\text{ GB} / 200\text{ GB/hour} = 9\text{ hours}.
Dividing data volume by processing rate yields the elapsed operating time for each cluster.

Key Concept

Weighted Average Mixtures and Work Rates
Question 2169Question

To combat financial losses caused by subterranean pipe ruptures, the Metro Water Authority plans to install acoustic leak sensors along all major underground distribution mains. These sensors automatically alert maintenance crews to micro-vibrations characteristic of escaping water. Authority directors project that this technology will enable rapid repairs, reducing physical water loss by at least 40 percent within two years. Consequently, the directors conclude that implementing the acoustic network will significantly increase the utility's net annual revenue over the next two years. Which of the following is an assumption on which the argument depends?

Show answer & explanation

Answer: The financial cost of purchasing, deploying, and servicing the acoustic sensors will not exceed the monetary value of the water saved through prompt leak repairs.

Answer

The argument assumes that the total financial costs of acquiring, deploying, and maintaining the acoustic sensors will not surpass the financial savings generated by preventing water loss.
The argument leaps from a premise about physical savings (reducing physical water loss by 40%) to a financial conclusion (increasing net annual revenue). For a net revenue increase to materialize, the financial benefits of the saved water must exceed the total capital and operational costs associated with buying, installing, and servicing the acoustic sensors. Negating this statement demonstrates that if costs exceed savings, net revenue cannot increase, proving that this unstated premise is logically necessary.

Step-by-Step Solution

1
Deconstruct the argument structure into premises and conclusion
Premise: Installing acoustic sensors will reduce physical subterranean water loss by at least 40% within two years. Conclusion: Implementing this network will significantly increase the utility's net annual revenue over the next two years.
Identifying the gap between physical water volume reduction and net financial revenue is essential for uncovering unstated assumptions.
2
Identify the logical gap between the premise and conclusion
The author assumes that reducing physical water loss will translate into a net financial gain.
Net revenue accounts for both revenues generated/saved and expenses incurred.
3
Apply the Negation Test to the candidate assumption
Negating the statement gives: 'The financial cost of purchasing, deploying, and servicing the sensors WILL exceed the monetary value of the water saved.'
If expenses exceed savings, net revenue will fall or remain negative, causing the conclusion to fail completely.

Key Concept

Identifying Unstated Assumptions via the Negation Test
Estimated Time:1m 50s
Question 2170Question

The table below presents annual production and resource consumption metrics for four semiconductor fabrication plants in 2025.

Fab FacilitySilicon Wafers Processed (in thousands)Solvent Used per Wafer (in mL)Total Electricity Consumed (in MWh)
Fab Alpha4508003,600
Fab Beta6005004,200
Fab Gamma2501,2002,750
Fab Delta8004505,200

Note: 1 kiloliter (kL)=1,000 liters (L)=1,000,000 milliliters (mL)1\text{ kiloliter (kL)} = 1,000\text{ liters (L)} = 1,000,000\text{ milliliters (mL)}.

Based on the table, what was the total volume of solvent used by Fab Alpha in 2025, expressed in kiloliters (kL)?

Show answer & explanation

Answer: 360

Answer

The total volume of solvent used by Fab Alpha in 2025 was 360 kL.
To find the total solvent used by Fab Alpha in kiloliters, first account for the scale factor in the wafer column header: Fab Alpha processed 450 thousand wafers, which is 450×1,000=450,000450 \times 1,000 = 450,000 wafers. Next, calculate the volume in milliliters: 450,000 wafers×800 mL/wafer=360,000,000 mL450,000 \text{ wafers} \times 800 \text{ mL/wafer} = 360,000,000 \text{ mL}. Finally, convert to kiloliters by dividing by 1,000,0001,000,000 (1 kL=1,000,000 mL1 \text{ kL} = 1,000,000 \text{ mL}), which gives 360 kL360 \text{ kL}.

Step-by-Step Solution

1
Extract wafer volume with scale multiplier
Fab Alpha processed 450,000 wafers.
The table column header specifies 'in thousands', requiring a multiplier of 1,000.
2
Calculate total solvent volume in milliliters
Total solvent volume = 360,000,000 mL.
Multiply 450,000 wafers by 800 mL per wafer.
3
Convert volume to target unit (kiloliters)
360 kL.
Divide 360,000,000 mL by 1,000,000 mL per kL.

Key Concept

Unit Conversion and Scale Interpretation
Question 2171Question

The following statements form a complete critical reasoning argument regarding international maritime environmental policy. Arrange the statements in logical order, starting with the background context, followed by the supporting premise, the intermediate conclusion, and ending with the ultimate main conclusion.

Drag items to arrange them in the correct order

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Answer

The correct logical sequence begins with the background context describing reliance on forestry offset credits, followed by the empirical premise detailing satellite audit findings, then the intermediate conclusion regarding real carbon reduction, and ends with the ultimate main conclusion calling for mandatory direct operational standards.
The argument moves logically from establishing the context (use of forestry offset credits), to introducing factual evidence (satellite audit findings of overestimation), to deriving a sub-conclusion (offsets do not produce real net reductions), and finally to asserting the ultimate main conclusion (regulators must establish mandatory direct operational standards).

Step-by-Step Solution

1
Identify the background context statement
The statement describing how international maritime carriers rely on forestry-based carbon offset credits sets the context without drawing an inference.
A logical argument typically begins by establishing the situational baseline under evaluation.
2
Identify the supporting premise
The statement citing satellite audit evidence regarding overestimation of carbon sequestration provides factual evidence about the context.
Premises introduce factual observations or data that evaluate or challenge the initial context.
3
Identify the intermediate conclusion
The statement concluding that carbon offset credits fail to deliver actual net carbon reductions synthesizes the audit data into a sub-claim.
An intermediate conclusion bridges empirical evidence and the broader policy recommendation.
4
Identify the ultimate main conclusion
The statement advocating that regulators mandate direct operational emissions standards serves as the main conclusion.
The main conclusion is the final claim toward which all preceding evidence and sub-conclusions direct their support.

Key Concept

Identifying Argument Structural Roles and Main Conclusions
Question 2172Question

A municipal water treatment facility operates four filtration basins (Basin A, Basin B, Basin C, and Basin D). Each basin receives raw water at a specified intake rate and operates at a given recovery percentage (the percent of raw water converted to purified water). Match each filtration basin on the left to its corresponding purified water output rate in thousands of gallons per hour (kgal/hr) on the right.

Click a left item, then click its matching right item

Items

Basin A: Raw water intake rate of 120 kgal/hr120\text{ kgal/hr} with a 75%75\% recovery rate.
Basin B: Raw water intake rate of 160 kgal/hr160\text{ kgal/hr} with a 65%65\% recovery rate.
Basin C: Raw water intake rate of 200 kgal/hr200\text{ kgal/hr} with a 55%55\% recovery rate.
Basin D: Raw water intake rate of 150 kgal/hr150\text{ kgal/hr} with an 80%80\% recovery rate.

Matches

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Answer

Basin A matches with 90 kgal/hr, Basin B matches with 104 kgal/hr, Basin C matches with 110 kgal/hr, and Basin D matches with 120 kgal/hr.
The output rate for each basin is determined by taking the product of the total raw intake rate and the given recovery percentage. Basin A yields 120×0.75=90 kgal/hr120 \times 0.75 = 90\text{ kgal/hr}, Basin B yields 160×0.65=104 kgal/hr160 \times 0.65 = 104\text{ kgal/hr}, Basin C yields 200×0.55=110 kgal/hr200 \times 0.55 = 110\text{ kgal/hr}, and Basin D yields 150×0.80=120 kgal/hr150 \times 0.80 = 120\text{ kgal/hr}.

Step-by-Step Solution

1
Calculate the purified water output for Basin A
Output = 120×0.75=90 kgal/hr120 \times 0.75 = 90\text{ kgal/hr}
Multiply the raw intake volume by the decimal equivalent of the recovery percentage (75%=0.7575\% = 0.75).
2
Calculate the purified water output for Basin B
Output = 160×0.65=104 kgal/hr160 \times 0.65 = 104\text{ kgal/hr}
Multiply the raw intake volume by the recovery percentage (65%=0.6565\% = 0.65).
3
Calculate the purified water output for Basin C
Output = 200×0.55=110 kgal/hr200 \times 0.55 = 110\text{ kgal/hr}
Multiply the raw intake volume by the recovery percentage (55%=0.5555\% = 0.55).
4
Calculate the purified water output for Basin D
Output = 150×0.80=120 kgal/hr150 \times 0.80 = 120\text{ kgal/hr}
Multiply the raw intake volume by the recovery percentage (80%=0.8080\% = 0.80).

Key Concept

Calculating net output rate from gross input rate and efficiency percentages
Estimated Time:1m 30s
Question 2173Question

A manufacturing facility operates two assembly lines, Line 1 and Line 2, producing high-precision components.

- Line 1 operates at a constant rate of R1R_1 components per hour, and Line 2 operates at a constant rate of R2R_2 components per hour.
- Operating Line 1 for 55 hours and Line 2 for 66 hours yields a total output of 1,2001,200 components.
- If Line 1's production rate is increased by 25%25\% and Line 2's production rate is decreased by 15%15\%, running both lines together for 44 hours yields a total output of 940940 components.

Which of the following represents the original production rate of Line 1 (R1R_1) and Line 2 (R2R_2), respectively, in components per hour?

Show answer & explanation

Answer: R1=120R_1 = 120 components/hour, R2=100R_2 = 100 components/hour

Answer

R1=120R_1 = 120 components/hour and R2=100R_2 = 100 components/hour
The correct answer accurately determines the original rates by translating the scenario into two simultaneous equations (5R1+6R2=12005 R_1 + 6 R_2 = 1200 and 4(1.25R1+0.85R2)=9404(1.25 R_1 + 0.85 R_2) = 940). Solving this system yields R1=120R_1 = 120 components per hour and R2=100R_2 = 100 components per hour.

Step-by-Step Solution

1
Formulate the first linear equation from the initial production scenario.
5R1+6R2=12005 R_1 + 6 R_2 = 1200
Line 1 runs for 55 hours at rate R1R_1 and Line 2 runs for 66 hours at rate R2R_2 to produce 1,2001,200 total components.
2
Express the modified rates after percentage changes.
Modified rate for Line 1 is 1.25R11.25 R_1; modified rate for Line 2 is 0.85R20.85 R_2.
Increasing R1R_1 by 25%25\% gives R1×1.25R_1 \times 1.25, and decreasing R2R_2 by 15%15\% gives R2×(10.15)=0.85R2R_2 \times (1 - 0.15) = 0.85 R_2.
3
Formulate and simplify the second equation from the modified production scenario.
5R1+3.4R2=9405 R_1 + 3.4 R_2 = 940
Running both modified lines together for 44 hours gives 4(1.25R1+0.85R2)=9404(1.25 R_1 + 0.85 R_2) = 940, which simplifies to 5R1+3.4R2=9405 R_1 + 3.4 R_2 = 940.
4
Solve the system of equations by subtracting the simplified second equation from the first equation.
2.6R2=260    R2=1002.6 R_2 = 260 \implies R_2 = 100
(5R1+6R2)(5R1+3.4R2)=1200940    2.6R2=260    R2=100(5 R_1 + 6 R_2) - (5 R_1 + 3.4 R_2) = 1200 - 940 \implies 2.6 R_2 = 260 \implies R_2 = 100.
5
Substitute R2=100R_2 = 100 back into the first equation to solve for R1R_1.
R1=120R_1 = 120
5R1+6(100)=1200    5R1=600    R1=1205 R_1 + 6(100) = 1200 \implies 5 R_1 = 600 \implies R_1 = 120.

Key Concept

Solving simultaneous linear rate equations involving percentage increases and decreases
Estimated Time:2m 0s
Question 2174Question

The table below details operational and environmental metrics recorded in 2025 across 10 international container hub ports:

Port IDContainer Throughput (M TEUs)Average Berth Dwell Time (hrs)Automated Crane Ratio (%)Carbon Intensity (g CO₂/ton-km)
Port Alpha14.234.51828.4
Port Beta8.531.02526.2
Port Gamma22.128.23524.5
Port Delta11.026.04223.0
Port Epsilon18.723.55021.8
Port Zeta6.421.05820.1
Port Eta25.319.26418.9
Port Theta16.017.57217.5
Port Iota29.815.08016.0
Port Kappa12.613.28814.2

If the table is sorted in ascending order by Automated Crane Ratio (%), which of the following statements correctly describes a cross-column trend observed across all ten ports?

Show answer & explanation

Answer: As the Automated Crane Ratio increases, both the Average Berth Dwell Time and the Carbon Intensity decrease monotonically across all ten ports.

Answer

As the Automated Crane Ratio increases, both the Average Berth Dwell Time and the Carbon Intensity decrease monotonically across all ten ports.
When the table is ordered by Automated Crane Ratio (%) from lowest (18%) to highest (88%), the values for Average Berth Dwell Time continuously drop from 34.5 to 13.2 hours, and Carbon Intensity continuously drops from 28.4 to 14.2 g CO₂/ton-km. Therefore, both metrics decrease monotonically as automation increases.

Step-by-Step Solution

1
Identify the primary sort column and order the table elements accordingly.
The Automated Crane Ratio values in ascending order are: 18% (Alpha), 25% (Beta), 35% (Gamma), 42% (Delta), 50% (Epsilon), 58% (Zeta), 64% (Eta), 72% (Theta), 80% (Iota), and 88% (Kappa).
The question specifies sorting the data by Automated Crane Ratio (%) in ascending order.
2
Examine the corresponding row values for Average Berth Dwell Time (hrs).
Dwell times in sorted order: 34.5, 31.0, 28.2, 26.0, 23.5, 21.0, 19.2, 17.5, 15.0, 13.2 hours. Each value is strictly smaller than the preceding value.
To verify if Average Berth Dwell Time displays a monotonic trend across all ten data points.
3
Examine the corresponding row values for Carbon Intensity (g CO₂/ton-km).
Carbon Intensity values in sorted order: 28.4, 26.2, 24.5, 23.0, 21.8, 20.1, 18.9, 17.5, 16.0, 14.2. Each value is strictly smaller than the preceding value.
To verify if Carbon Intensity displays a monotonic trend parallel to Berth Dwell Time.
4
Check Container Throughput (M TEUs) for any monotonic trend.
Throughput values in sorted order: 14.2, 8.5, 22.1, 11.0, 18.7, 6.4, 25.3, 16.0, 29.8, 12.6. This sequence increases and decreases non-monotonically.
To evaluate and rule out statements asserting a consistent trend in Container Throughput.

Key Concept

Cross-Column Correlation and Trend Analysis
Estimated Time:2m 0s
Question 2175Question

A digital subscription platform updates user account balances for Reward Points (PP) and Bonus Credits (CC) at the end of each month kk (where k=1,2,3k = 1, 2, 3) according to the following state transition rules:

- Pk=0.8Pk1+50P_k = 0.8 P_{k-1} + 50
- Ck=Ck1+0.1Pk1C_k = C_{k-1} + 0.1 P_{k-1}

At month k=0k = 0, an account starts with P0=500P_0 = 500 points and C0=100C_0 = 100 credits.

Which of the following statements regarding the account balances are true? Select all that apply.

Select all that apply

Show answer & explanation

Answer: The promotional credit balance at the end of Month 2 (C2C_2) is equal to 195.; The tier status point balance at the end of Month 3 (P3P_3) is equal to 378.

Answer

The statement that the promotional credit balance at the end of Month 2 is 195 and the statement that the tier status point balance at the end of Month 3 is 378 are both correct.
Evaluating the sequential transitions stage-by-stage gives P1=450P_1 = 450, C1=150C_1 = 150, P2=410P_2 = 410, C2=195C_2 = 195, P3=378P_3 = 378, and C3=236C_3 = 236. Thus, the statement asserting C2=195C_2 = 195 is correct, and the statement asserting P3=378P_3 = 378 is correct.

Step-by-Step Solution

1
Calculate state values at Month 1 (k=1k = 1)
P1=0.8(500)+50=450P_1 = 0.8(500) + 50 = 450 points; C1=100+0.1(500)=150C_1 = 100 + 0.1(500) = 150 credits.
Apply state transition rules using initial values P0=500P_0 = 500 and C0=100C_0 = 100.
2
Calculate state values at Month 2 (k=2k = 2)
P2=0.8(450)+50=410P_2 = 0.8(450) + 50 = 410 points; C2=150+0.1(450)=195C_2 = 150 + 0.1(450) = 195 credits.
Apply state transition rules using Month 1 values (P1=450P_1 = 450, C1=150C_1 = 150).
3
Calculate state values at Month 3 (k=3k = 3)
P3=0.8(410)+50=378P_3 = 0.8(410) + 50 = 378 points; C3=195+0.1(410)=236C_3 = 195 + 0.1(410) = 236 credits.
Apply state transition rules using Month 2 values (P2=410P_2 = 410, C2=195C_2 = 195).
4
Evaluate candidate statements
C2=195C_2 = 195 is true; P3=378P_3 = 378 is true; C3=236241C_3 = 236 \neq 241 is false; P2=410450P_2 = 410 \neq 450 is false; change in points P1P2=450410=4050P_1 - P_2 = 450 - 410 = 40 \neq 50 is false.
Compare calculated multi-stage process values directly against each statement.

Key Concept

Sequential Processes and State Transitions
Question 2176Question

An e-commerce fulfillment center uses two automated sorting machines, Machine X and Machine Y, to sort packages. Machine X processes packages at a constant rate of 150150 packages per hour, with an error rate of 4%4\%. Machine Y processes packages at a constant rate of 200200 packages per hour, with an error rate of 1.5%1.5\%. If both machines operate simultaneously and continuously to process a total batch of 2,1002,100 packages, what is the total number of incorrectly processed packages in this batch?

Show answer & explanation

Answer: 54

Answer

54 packages
Working together at a combined rate of 350350 packages per hour, the machines take 66 hours to complete 2,1002,100 packages. Machine X processes 900900 packages with 3636 errors (4%4\%), while Machine Y processes 1,2001,200 packages with 1818 errors (1.5%1.5\%). Adding these yields 5454 total errors.

Step-by-Step Solution

1
Determine the combined processing rate of the two machines
350350 packages per hour
Machine X and Machine Y work concurrently, so their rates add up (150+200=350150 + 200 = 350).
2
Determine total operating time needed for the batch
66 hours
Dividing total packages (2,1002,100) by the combined rate (350350) gives the total operating duration.
3
Calculate individual volume handled by each machine
Machine X: 900900 packages; Machine Y: 1,2001,200 packages
Multiplying the duration (66 hours) by each machine's hourly rate yields their individual output.
4
Calculate the error quantity for each machine and total errors
36+18=5436 + 18 = 54 packages
4%4\% of 900=36900 = 36, and 1.5%1.5\% of 1,200=181,200 = 18. The sum of errors is 5454.

Key Concept

Combined Rates and Weighted Percentage Errors
Question 2177Question

An enterprise cybersecurity team categorizes software patch deployment tasks into four priority tiers (Tier 1: Highest Priority to Tier 4: Lowest Priority) based on two criteria:

1. Exposure Risk: Public-Facing or Internal-Only
2. Threat Severity: Critical, High, or Moderate

The prioritization rules are defined as follows:
- Tier 1: Public-Facing and Critical Severity
- Tier 2: Public-Facing and High Severity, OR Internal-Only and Critical Severity
- Tier 3: Public-Facing and Moderate Severity, OR Internal-Only and High Severity
- Tier 4: Internal-Only and Moderate Severity

Four upcoming deployment tasks are described below:
- Patch Alpha: Public-Facing system with Critical Severity
- Patch Beta: Internal-Only system with Critical Severity
- Patch Gamma: Public-Facing system with Moderate Severity
- Patch Delta: Internal-Only system with Moderate Severity

Which of the following represents the correct sequence of deployment tasks ordered from highest priority (1st) to lowest priority (4th)?

Drag items to arrange them in the correct order

Show answer & explanation

Answer

The correct order from highest priority to lowest priority is Patch Alpha, Patch Beta, Patch Gamma, and Patch Delta.
To determine the correct priority sequence, each deployment task must be evaluated against the tier assignment rules. Patch Alpha (Public-Facing, Critical) meets the Tier 1 conditions. Patch Beta (Internal-Only, Critical) fits Tier 2. Patch Gamma (Public-Facing, Moderate) fits Tier 3. Patch Delta (Internal-Only, Moderate) fits Tier 4. Sorting from Tier 1 to Tier 4 yields the sequence: Patch Alpha, Patch Beta, Patch Gamma, Patch Delta.

Step-by-Step Solution

1
Evaluate Patch Alpha against the classification rules.
Patch Alpha has Public-Facing exposure and Critical severity, assigning it to Tier 1.
Tier 1 explicitly requires Public-Facing exposure and Critical severity.
2
Evaluate Patch Beta against the classification rules.
Patch Beta has Internal-Only exposure and Critical severity, assigning it to Tier 2.
Tier 2 includes Internal-Only systems with Critical severity.
3
Evaluate Patch Gamma against the classification rules.
Patch Gamma has Public-Facing exposure and Moderate severity, assigning it to Tier 3.
Tier 3 includes Public-Facing systems with Moderate severity.
4
Evaluate Patch Delta against the classification rules.
Patch Delta has Internal-Only exposure and Moderate severity, assigning it to Tier 4.
Tier 4 includes Internal-Only systems with Moderate severity.
5
Order the patches from Tier 1 (Highest) to Tier 4 (Lowest).
The sequence is Tier 1 (Patch Alpha) → Tier 2 (Patch Beta) → Tier 3 (Patch Gamma) → Tier 4 (Patch Delta).
Ranking tiers numerically from 1 to 4 establishes the correct priority order.

Key Concept

Categorical Classification and Sorting
Estimated Time:1m 30s
Question 2178Question

A regional energy commission classifies proposed energy generation projects into four regulatory permitting tiers based on two quantitative metrics: Peak Capacity (in megawatts, MW\text{MW}) and Sanctuary Proximity (distance in kilometers, km\text{km}, from a protected wildlife reserve).

The classification criteria are specified as follows:
- Tier 1 (Comprehensive Review): Peak Capacity >50 MW> 50\text{ MW} AND Sanctuary Proximity <10 km< 10\text{ km}
- Tier 2 (Grid Impact Priority): Peak Capacity >50 MW> 50\text{ MW} AND Sanctuary Proximity 10 km\ge 10\text{ km}
- Tier 3 (Environmental Mitigation Priority): Peak Capacity 50 MW\le 50\text{ MW} AND Sanctuary Proximity <10 km< 10\text{ km}
- Tier 4 (Fast-Track Permitting): Peak Capacity 50 MW\le 50\text{ MW} AND Sanctuary Proximity 10 km\ge 10\text{ km}

Based on the rules provided above, match each project proposal to its designated regulatory permitting tier.

Click a left item, then click its matching right item

Items

Project Alpha: Peak Capacity = 75 MW75\text{ MW}, Sanctuary Proximity = 6 km6\text{ km}
Project Beta: Peak Capacity = 60 MW60\text{ MW}, Sanctuary Proximity = 18 km18\text{ km}
Project Gamma: Peak Capacity = 35 MW35\text{ MW}, Sanctuary Proximity = 4 km4\text{ km}
Project Delta: Peak Capacity = 40 MW40\text{ MW}, Sanctuary Proximity = 25 km25\text{ km}

Matches

Show answer & explanation

Answer

Project Alpha matches Tier 1 (Comprehensive Review), Project Beta matches Tier 2 (Grid Impact Priority), Project Gamma matches Tier 3 (Environmental Mitigation Priority), and Project Delta matches Tier 4 (Fast-Track Permitting).
Each project is mapped to the permitting tier whose dual constraints for Peak Capacity and Sanctuary Proximity are both satisfied.

Step-by-Step Solution

1
Evaluate Project Alpha metrics against the tier criteria.
Peak Capacity is 75 MW>50 MW75\text{ MW} > 50\text{ MW} and Sanctuary Proximity is 6 km<10 km6\text{ km} < 10\text{ km}. This matches Tier 1.
Both conditions for Tier 1 (High capacity and high environmental sensitivity) are satisfied.
2
Evaluate Project Beta metrics against the tier criteria.
Peak Capacity is 60 MW>50 MW60\text{ MW} > 50\text{ MW} and Sanctuary Proximity is 18 km10 km18\text{ km} \ge 10\text{ km}. This matches Tier 2.
High capacity with lower environmental sensitivity places the project into Tier 2.
3
Evaluate Project Gamma metrics against the tier criteria.
Peak Capacity is 35 MW50 MW35\text{ MW} \le 50\text{ MW} and Sanctuary Proximity is 4 km<10 km4\text{ km} < 10\text{ km}. This matches Tier 3.
Standard capacity combined with high environmental sensitivity requires Tier 3 mitigation.
4
Evaluate Project Delta metrics against the tier criteria.
Peak Capacity is 40 MW50 MW40\text{ MW} \le 50\text{ MW} and Sanctuary Proximity is 25 km10 km25\text{ km} \ge 10\text{ km}. This matches Tier 4.
Standard capacity and low environmental sensitivity qualify for Tier 4 fast-track permitting.

Key Concept

Multi-attribute categorical classification using strict logical boundary constraints.
Question 2179Question

A commercial bakery operates three distinct production units—Unit X, Unit Y, and Unit Z—to fulfill daily shipments of bread loaves:

- Unit X produces 150150 loaves per hour, with 4%4\% discarded due to minor defects.
- Unit Y produces 200200 loaves per hour, with 5%5\% discarded due to minor defects.
- Unit Z produces 250250 loaves per hour, with 2%2\% discarded due to minor defects.

Match each production unit on the left with its corresponding net yield of non-defective loaves produced during an 88-hour shift on the right.

Click a left item, then click its matching right item

Items

Unit X
Unit Y
Unit Z

Matches

Show answer & explanation

Answer

Unit X matches with 1,152 non-defective loaves; Unit Y matches with 1,520 non-defective loaves; Unit Z matches with 1,960 non-defective loaves.
Each unit's net non-defective yield is derived by calculating gross output over 8 hours (Hourly Rate × 8) and multiplying by (1Defect Rate)(1 - \text{Defect Rate}). Unit X yields 1,200×0.96=1,1521,200 \times 0.96 = 1,152, Unit Y yields 1,600×0.95=1,5201,600 \times 0.95 = 1,520, and Unit Z yields 2,000×0.98=1,9602,000 \times 0.98 = 1,960.

Step-by-Step Solution

1
Calculate total gross production for each unit over an 8-hour shift.
Unit X produces 150×8=1,200150 \times 8 = 1,200 loaves; Unit Y produces 200×8=1,600200 \times 8 = 1,600 loaves; Unit Z produces 250×8=2,000250 \times 8 = 2,000 loaves.
Gross production equals hourly rate multiplied by duration.
2
Calculate the non-defective percentage for each unit.
Unit X non-defective rate is 100%4%=96%100\% - 4\% = 96\%; Unit Y non-defective rate is 100%5%=95%100\% - 5\% = 95\%; Unit Z non-defective rate is 100%2%=98%100\% - 2\% = 98\%.
The non-defective rate is the complement of the discard percentage.
3
Multiply gross output by the non-defective rate to determine net yield.
Unit X yield is 1,200×0.96=1,1521,200 \times 0.96 = 1,152; Unit Y yield is 1,600×0.95=1,5201,600 \times 0.95 = 1,520; Unit Z yield is 2,000×0.98=1,9602,000 \times 0.98 = 1,960.
Applying the non-defective fraction gives the final usable loaf count for each unit.

Key Concept

Work rate and net yield calculation using percentages
Question 2180Question

A satellite communications fleet operator classifies custom transponder payloads into three orbital deployment categories (Category 1, Category 2, and Category 3) based on two operational metrics: Peak Power Consumption (in kW) and Frequency Bandwidth (in GHz).

Classification Rules:
- Category 1: Frequency Bandwidth must exceed 10 GHz10\text{ GHz}, and Peak Power Consumption must exceed 15 kW15\text{ kW}.
- Category 2: Frequency Bandwidth must exceed 10 GHz10\text{ GHz}, but Peak Power Consumption is 15 kW15\text{ kW} or less.
- Category 3: Frequency Bandwidth is 10 GHz10\text{ GHz} or less, regardless of Peak Power Consumption.

Two proposed payloads require deployment:
- Payload A: Peak Power Consumption = 18 kW18\text{ kW}, Frequency Bandwidth = 8 GHz8\text{ GHz}.
- Payload B: Peak Power Consumption = 12 kW12\text{ kW}, Frequency Bandwidth = 14 GHz14\text{ GHz}.

Based on the classification rules, which of the following correctly identifies the assigned deployment category for Payload A and Payload B, respectively?

Show answer & explanation

Answer: Payload A: Category 3; Payload B: Category 2

Answer

Payload A is assigned to Category 3, and Payload B is assigned to Category 2.
Payload A has a bandwidth of 8 GHz, which is less than or equal to 10 GHz; under the classification rules, any payload with a bandwidth of 10 GHz or less is placed in Category 3 regardless of peak power. Payload B has a bandwidth of 14 GHz (>10 GHz) and a power consumption of 12 kW (15 kW or less), satisfying the criteria for Category 2. Thus, the correct pair is Payload A: Category 3; Payload B: Category 2.

Step-by-Step Solution

1
Evaluate Payload A against the classification rules.
Payload A has Peak Power Consumption = 18 kW18\text{ kW} and Frequency Bandwidth = 8 GHz8\text{ GHz}. Since the bandwidth is 8 GHz10 GHz8\text{ GHz} \leq 10\text{ GHz}, rule Category 3 applies directly regardless of power.
Category 3 explicitly states that any payload with Frequency Bandwidth of 10 GHz10\text{ GHz} or less falls into Category 3.
2
Evaluate Payload B against the classification rules.
Payload B has Peak Power Consumption = 12 kW12\text{ kW} and Frequency Bandwidth = 14 GHz14\text{ GHz}. The bandwidth exceeds 10 GHz10\text{ GHz}, and the power consumption is 12 kW15 kW12\text{ kW} \leq 15\text{ kW}. Therefore, Payload B falls into Category 2.
Category 2 requires bandwidth >10 GHz>10\text{ GHz} and power 15 kW\leq 15\text{ kW}.
3
Combine the evaluations to select the correct paired classification.
Payload A: Category 3; Payload B: Category 2.
Matching both evaluations yields Category 3 for Payload A and Category 2 for Payload B.

Key Concept

Multi-attribute categorical sorting with conditional logical rules.
Estimated Time:1m 30s
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