Sequential Processes and State Transitions

18 questions

Question 1Question

An automated data processing pipeline evaluates five sequential stages (k=1,2,3,4,5k = 1, 2, 3, 4, 5) to process machine learning workloads. At the start (k=0k = 0), the system state is defined by Storage S0=10 GBS_0 = 10\text{ GB} and System Load L0=20%L_0 = 20\%. At each subsequent stage kk, the state vector (Sk,Lk)(S_k, L_k) updates according to the following rules:

- Stage 1 (Data Scrubbing): S1=S0+15S_1 = S_0 + 15, L1=L0+10L_1 = L_0 + 10
- Stage 2 (Feature Extraction): S2=2×S1S_2 = 2 \times S_1, L2=L1+15L_2 = L_1 + 15
- Stage 3 (Model Training): S3=S210S_3 = S_2 - 10, L3=L2+25L_3 = L_2 + 25
- Stage 4 (Batch Validation): S4=S3+20S_4 = S_3 + 20, L4=L330L_4 = L_3 - 30
- Stage 5 (System Deployment): S5=S425S_5 = S_4 - 25, L5=L4+50L_5 = L_4 + 50

The pipeline performance metric at any stage is defined as Mk=Sk+LkM_k = S_k + L_k.

Arrange the five stages in increasing order of their pipeline performance metric MkM_k (from smallest value to largest value).

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Answer

The correct increasing order of the stages by metric MkM_k is Data Scrubbing (M1=55M_1 = 55), Feature Extraction (M2=95M_2 = 95), Batch Validation (M4=100M_4 = 100), Model Training (M3=110M_3 = 110), and System Deployment (M5=125M_5 = 125).
Tracking each state sequentially yields M1=55M_1 = 55, M2=95M_2 = 95, M3=110M_3 = 110, M4=100M_4 = 100, and M5=125M_5 = 125. Arranging these from smallest to largest places Batch Validation (M4=100M_4 = 100) before Model Training (M3=110M_3 = 110).

Step-by-Step Solution

1
Calculate state vector and metric for Stage 1
S1=10+15=25S_1 = 10 + 15 = 25, L1=20+10=30    M1=25+30=55L_1 = 20 + 10 = 30 \implies M_1 = 25 + 30 = 55
Apply state transformation rules for Stage 1 starting from initial condition (S0=10,L0=20)(S_0=10, L_0=20).
2
Calculate state vector and metric for Stage 2
S2=2×25=50S_2 = 2 \times 25 = 50, L2=30+15=45    M2=50+45=95L_2 = 30 + 15 = 45 \implies M_2 = 50 + 45 = 95
Apply state transformation rules using values from Stage 1.
3
Calculate state vector and metric for Stage 3
S3=5010=40S_3 = 50 - 10 = 40, L3=45+25=70    M3=40+70=110L_3 = 45 + 25 = 70 \implies M_3 = 40 + 70 = 110
Apply state transformation rules using values from Stage 2.
4
Calculate state vector and metric for Stage 4
S4=40+20=60S_4 = 40 + 20 = 60, L4=7030=40    M4=60+40=100L_4 = 70 - 30 = 40 \implies M_4 = 60 + 40 = 100
Apply state transformation rules using values from Stage 3.
5
Calculate state vector and metric for Stage 5
S5=6025=35S_5 = 60 - 25 = 35, L5=40+50=90    M5=35+90=125L_5 = 40 + 50 = 90 \implies M_5 = 35 + 90 = 125
Apply state transformation rules using values from Stage 4.
6
Sort the computed metric values in ascending order
M1(55)<M2(95)<M4(100)<M3(110)<M5(125)M_1 (55) < M_2 (95) < M_4 (100) < M_3 (110) < M_5 (125)
Ordering the values yields Data Scrubbing, Feature Extraction, Batch Validation, Model Training, and System Deployment.

Key Concept

Sequential state tracking requires evaluating recursive function rules step-by-step before applying ordering logic.
Question 2Question

An automated logistics drone starts an operation at Cycle k=0k = 0 with an initial battery charge of C0=100%C_0 = 100\% and a payload mass of P0=40 kgP_0 = 40\text{ kg}. At the end of each subsequent cycle kk (where k=1,2,3,4k = 1, 2, 3, 4), the payload mass decreases by 8 kg8\text{ kg} according to Pk=Pk18P_k = P_{k-1} - 8, and the remaining battery charge updates according to the state transition rule Ck=Ck1(5+0.2Pk1)%C_k = C_{k-1} - (5 + 0.2 P_{k-1})\%. Match each operational cycle on the left with its exact state (Ck,Pk)(C_k, P_k) at the end of that cycle on the right.

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Items

End of Cycle 1
End of Cycle 2
End of Cycle 3
End of Cycle 4

Matches

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Answer

End of Cycle 1 matches with C_1 = 87.0%, P_1 = 32 kg; End of Cycle 2 matches with C_2 = 75.6%, P_2 = 24 kg; End of Cycle 3 matches with C_3 = 65.8%, P_3 = 16 kg; End of Cycle 4 matches with C_4 = 57.6%, P_4 = 8 kg.
Each cycle follows the recursive state equations P_k = P_{k-1} - 8 and C_k = C_{k-1} - (5 + 0.2 P_{k-1}). Evaluating step by step yields the exact matching pairs for all four cycles.

Step-by-Step Solution

1
Calculate state values at the end of Cycle 1 (k = 1)
P_1 = 40 - 8 = 32 kg; C_1 = 100 - (5 + 0.2 * 40) = 100 - 13 = 87.0%
Use the state transition formula using initial values P_0 = 40 and C_0 = 100.
2
Calculate state values at the end of Cycle 2 (k = 2)
P_2 = 32 - 8 = 24 kg; C_2 = 87.0 - (5 + 0.2 * 32) = 87.0 - 11.4 = 75.6%
Apply the recursive transition rules to the state obtained at k = 1.
3
Calculate state values at the end of Cycle 3 (k = 3)
P_3 = 24 - 8 = 16 kg; C_3 = 75.6 - (5 + 0.2 * 24) = 75.6 - 9.8 = 65.8%
Apply the recursive transition rules to the state obtained at k = 2.
4
Calculate state values at the end of Cycle 4 (k = 4)
P_4 = 16 - 8 = 8 kg; C_4 = 65.8 - (5 + 0.2 * 16) = 65.8 - 8.2 = 57.6%
Apply the recursive transition rules to the state obtained at k = 3.

Key Concept

Sequential Process and Recursive State Transition Tracking
Estimated Time:2m 0s
Question 3Question

An automated algorithmic system updates a portfolio's Index (VV) and Stabilization Pool (PP) across sequential stages k=1,2,3,4k = 1, 2, 3, 4.

Initial State (Stage 0): V0=100V_0 = 100 and P0=20P_0 = 20.

For each Stage kk (where k=1,2,3,4k = 1, 2, 3, 4):
1. Sub-stage A (Temporary Index Calculation): Calculate Vktemp=Vk1+0.5×Pk1V_k^{\text{temp}} = V_{k-1} + 0.5 \times P_{k-1}.
2. Sub-stage B (State Adjustment):
- If Vktemp110V_k^{\text{temp}} \le 110: set Pk=Pk1+15P_k = P_{k-1} + 15 and final stage index Vk=Vktemp+10V_k = V_k^{\text{temp}} + 10.
- If Vktemp>110V_k^{\text{temp}} > 110: set Pk=Pk110P_k = P_{k-1} - 10 and final stage index Vk=Vktemp5V_k = V_k^{\text{temp}} - 5.

Arrange the following four state transition events in chronological order from earliest to latest occurrence.

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Answer

The correct chronological order of events is: (1) The stabilization pool PP reaches its peak value of 3535, (2) The temporary index VtempV^{\text{temp}} first exceeds 130130, (3) The stabilization pool PP drops to 2525, and (4) The final stage index VV reaches 140140.
Tracing the state transitions step-by-step reveals:
- At Sub-stage 1B, P1=35P_1 = 35, which is the peak value of PP.
- At Sub-stage 2A, V2temp=137.5V_2^{\text{temp}} = 137.5, marking the first time VtempV^{\text{temp}} exceeds 130130.
- At Sub-stage 2B, P2=25P_2 = 25.
- At Sub-stage 3B, V3=140.0V_3 = 140.0.

Thus, the event where the pool reaches 3535 happens first (Sub-stage 1B), followed by VtempV^{\text{temp}} exceeding 130130 (Sub-stage 2A), then the pool dropping to 2525 (Sub-stage 2B), and finally VV reaching 140140 (Sub-stage 3B).

Step-by-Step Solution

1
Evaluate Stage 1 state transitions
Sub-stage 1A: V1temp=100+0.5(20)=110V_1^{\text{temp}} = 100 + 0.5(20) = 110. Since V1temp110V_1^{\text{temp}} \le 110, Sub-stage 1B sets P1=20+15=35P_1 = 20 + 15 = 35 and V1=110+10=120V_1 = 110 + 10 = 120.
This establishes that the event 'The stabilization pool PP reaches its peak value of 3535' occurs at Sub-stage 1B.
2
Evaluate Stage 2 state transitions
Sub-stage 2A: V2temp=120+0.5(35)=137.5V_2^{\text{temp}} = 120 + 0.5(35) = 137.5. Here, VtempV^{\text{temp}} first exceeds 130130. Sub-stage 2B: Since V2temp=137.5>110V_2^{\text{temp}} = 137.5 > 110, set P2=3510=25P_2 = 35 - 10 = 25 and V2=137.55=132.5V_2 = 137.5 - 5 = 132.5.
This establishes that 'The temporary index VtempV^{\text{temp}} first exceeds 130130' occurs at Sub-stage 2A, followed immediately by 'The stabilization pool PP drops to 2525' at Sub-stage 2B.
3
Evaluate Stage 3 state transitions
Sub-stage 3A: V3temp=132.5+0.5(25)=145.0V_3^{\text{temp}} = 132.5 + 0.5(25) = 145.0. Sub-stage 3B: Since V3temp=145.0>110V_3^{\text{temp}} = 145.0 > 110, set P3=2510=15P_3 = 25 - 10 = 15 and V3=145.05=140.0V_3 = 145.0 - 5 = 140.0.
This confirms that 'The final stage index VV reaches 140140' occurs at Sub-stage 3B.
4
Synthesize chronological sequence of all four events
Sequence: Sub-stage 1B (P=35P = 35) \rightarrow Sub-stage 2A (Vtemp=137.5V^{\text{temp}} = 137.5) \rightarrow Sub-stage 2B (P=25P = 25) \rightarrow Sub-stage 3B (V=140V = 140).
Matching the chronological execution order yields the correct item ordering.

Key Concept

Sequential Processes and State Transitions
Question 4Question

A distribution network manages inventory between two regional facilities, Facility A and Facility B. At the beginning of Stage 1 (k=1k=1), Facility A holds 216216 units of product and Facility B holds 160160 units of product.

In each stage kk (for k=1,2,3k = 1, 2, 3), the inventory levels undergo four sequential state transitions in the exact order listed below:

1. Step 1: Facility A dispatches 12\frac{1}{2} of its current inventory.
2. Step 2: Facility B dispatches 12\frac{1}{2} of its current inventory.
3. Step 3: Facility A transfers 13\frac{1}{3} of its remaining inventory to Facility B.
4. Step 4: Facility B receives 2828 new units from an external manufacturer.

Which of the following statements regarding the inventory levels at the end of Stage 2 and Stage 3 are correct? Select all that apply.

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Answer: At the end of Stage 2, Facility B holds exactly 112 units.; At the end of Stage 3, the total combined inventory across both facilities is 96 units.; The total combined inventory decreases by 40 units from the end of Stage 2 to the end of Stage 3.

Answer

The correct statements are: (1) At the end of Stage 2, Facility B holds exactly 112 units; (2) At the end of Stage 3, the total combined inventory across both facilities is 96 units; and (3) The total combined inventory decreases by 40 units from the end of Stage 2 to the end of Stage 3.
Tracking all 4 transition steps systematically across 3 stages yields the exact state vectors: Stage 1 (72,144)(72, 144), Stage 2 (24,112)(24, 112), and Stage 3 (8,88)(8, 88). Comparing these state vectors confirms that Facility B has 112 units at Stage 2 end, total inventory at Stage 3 end is 8+88=968 + 88 = 96 units, and the change from Stage 2 end to Stage 3 end is 13696=40136 - 96 = 40 units.

Step-by-Step Solution

1
Calculate state transitions for Stage 1 (k=1k=1)
A1=72A_1 = 72, B1=144B_1 = 144
Start at A0=216,B0=160A_0 = 216, B_0 = 160. Step 1: A216108=108A \to 216 - 108 = 108. Step 2: B16080=80B \to 160 - 80 = 80. Step 3: AA transfers 13(108)=36\frac{1}{3}(108) = 36 to BB, so A10836=72A \to 108 - 36 = 72 and B80+36=116B \to 80 + 36 = 116. Step 4: BB receives 28, so B116+28=144B \to 116 + 28 = 144.
2
Calculate state transitions for Stage 2 (k=2k=2)
A2=24A_2 = 24, B2=112B_2 = 112, Total2=136\text{Total}_2 = 136
Start at A1=72,B1=144A_1 = 72, B_1 = 144. Step 1: A7236=36A \to 72 - 36 = 36. Step 2: B14472=72B \to 144 - 72 = 72. Step 3: AA transfers 13(36)=12\frac{1}{3}(36) = 12 to BB, so A3612=24A \to 36 - 12 = 24 and B72+12=84B \to 72 + 12 = 84. Step 4: BB receives 28, so B84+28=112B \to 84 + 28 = 112.
3
Calculate state transitions for Stage 3 (k=3k=3)
A3=8A_3 = 8, B3=88B_3 = 88, Total3=96\text{Total}_3 = 96
Start at A2=24,B2=112A_2 = 24, B_2 = 112. Step 1: A2412=12A \to 24 - 12 = 12. Step 2: B11256=56B \to 112 - 56 = 56. Step 3: AA transfers 13(12)=4\frac{1}{3}(12) = 4 to BB, so A124=8A \to 12 - 4 = 8 and B56+4=60B \to 56 + 4 = 60. Step 4: BB receives 28, so B60+28=88B \to 60 + 28 = 88.
4
Evaluate the given statements against calculated stage states
Statements A, B, and E are true; C and D are false.
Facility B holds 112 units at Stage 2 end. Total inventory at Stage 3 end is 8+88=968 + 88 = 96 units. Total inventory change between Stage 2 and Stage 3 is 13696=40136 - 96 = 40 units.

Key Concept

Sequential Multi-Stage State Transitions
Estimated Time:2m 30s
Question 5Question

A cloud server processes data batches across three sequential stages (k=1,2,3k = 1, 2, 3). At the start (k=0k = 0), the server has a Buffer size of B0=100 MBB_0 = 100\text{ MB} and a Queue size of Q0=50 MBQ_0 = 50\text{ MB}. In each stage kk, the sizes are updated according to the following rules:
- Bk=Bk120 MBB_k = B_{k-1} - 20\text{ MB}
- Qk=Qk1+10 MBQ_k = Q_{k-1} + 10\text{ MB}

Which of the following statements about the state of the server are true?

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Answer: At the end of Stage 2 (k=2k = 2), the Buffer size B2B_2 is 60 MB60\text{ MB}.; At the end of Stage 3 (k=3k = 3), the Queue size Q3Q_3 is 80 MB80\text{ MB}.

Answer

The correct statements are that at the end of Stage 2, the Buffer size is 60 MB60\text{ MB}, and at the end of Stage 3, the Queue size is 80 MB80\text{ MB}.
The correct statements accurately reflect the iterative evaluation of the state transition formulas: the buffer size decreases by 20 MB20\text{ MB} each stage to reach 60 MB60\text{ MB} at Stage 2, and the queue size increases by 10 MB10\text{ MB} each stage to reach 80 MB80\text{ MB} at Stage 3.

Step-by-Step Solution

1
Calculate state values at Stage 1 (k=1k = 1)
B1=10020=80 MBB_1 = 100 - 20 = 80\text{ MB} and Q1=50+10=60 MBQ_1 = 50 + 10 = 60\text{ MB}. Combined total: 140 MB140\text{ MB}.
Apply the given state transition rules to the initial values at k=0k = 0.
2
Calculate state values at Stage 2 (k=2k = 2)
B2=8020=60 MBB_2 = 80 - 20 = 60\text{ MB} and Q2=60+10=70 MBQ_2 = 60 + 10 = 70\text{ MB}.
Apply the transition rules to the Stage 1 state values.
3
Calculate state values at Stage 3 (k=3k = 3)
B3=6020=40 MBB_3 = 60 - 20 = 40\text{ MB} and Q3=70+10=80 MBQ_3 = 70 + 10 = 80\text{ MB}.
Apply the transition rules to the Stage 2 state values.
4
Evaluate option statements
The statement specifying B2=60 MBB_2 = 60\text{ MB} and the statement specifying Q3=80 MBQ_3 = 80\text{ MB} are verified as correct.
Compare calculated stage states directly against the option statements.

Key Concept

Sequential processes require evaluating every state transition iteratively without skipping intermediate stages.
Question 6Question

A water processing facility processes liquid batches through a three-stage sequential system. The system updates the batch pollutant count (NN) according to the following state transition rules at each stage:

- Stage 1 (Filtration): N1=N0+20N_1 = N_0 + 20
- Stage 2 (Purification): N2=2×N1N_2 = 2 \times N_1
- Stage 3 (Polishing): N3=N210N_3 = N_2 - 10

Match each initial pollutant count (N0N_0) on the left to its corresponding final pollutant count (N3N_3) after completing all three stages.

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Items

Initial Count N0=10N_0 = 10
Initial Count N0=25N_0 = 25
Initial Count N0=40N_0 = 40

Matches

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Answer

Initial Count N0=10N_0 = 10 matches Final Count N3=50N_3 = 50; Initial Count N0=25N_0 = 25 matches Final Count N3=80N_3 = 80; Initial Count N0=40N_0 = 40 matches Final Count N3=110N_3 = 110.
Each initial count must be processed sequentially through all three transition rules in exact order: N1=N0+20N_1 = N_0 + 20, then N2=2×N1N_2 = 2 \times N_1, and finally N3=N210N_3 = N_2 - 10. Executing this sequence accurately matches N0=10N_0 = 10 to N3=50N_3 = 50, N0=25N_0 = 25 to N3=80N_3 = 80, and N0=40N_0 = 40 to N3=110N_3 = 110.

Step-by-Step Solution

1
Apply Stage 1 transition rule (N1=N0+20N_1 = N_0 + 20) to each initial value.
For N0=10N1=30N_0 = 10 \rightarrow N_1 = 30; for N0=25N1=45N_0 = 25 \rightarrow N_1 = 45; for N0=40N1=60N_0 = 40 \rightarrow N_1 = 60.
Stage 1 adds 20 to the initial state.
2
Apply Stage 2 transition rule (N2=2×N1N_2 = 2 \times N_1) to the intermediate values.
For N1=30N2=60N_1 = 30 \rightarrow N_2 = 60; for N1=45N2=90N_1 = 45 \rightarrow N_2 = 90; for N1=60N2=120N_1 = 60 \rightarrow N_2 = 120.
Stage 2 doubles the state value from Stage 1.
3
Apply Stage 3 transition rule (N3=N210N_3 = N_2 - 10) to determine final output states.
For N2=60N3=50N_2 = 60 \rightarrow N_3 = 50; for N2=90N3=80N_2 = 90 \rightarrow N_3 = 80; for N2=120N3=110N_2 = 120 \rightarrow N_3 = 110.
Stage 3 subtracts 10 from the Stage 2 state value.

Key Concept

Sequential processes require evaluating state updates iteratively in strict order, carrying the output of each stage into the next stage.
Question 7Question

A smart battery storage unit operates over three consecutive cycles (k=1,2,3k = 1, 2, 3). At the start of Cycle 1 (k=0k = 0), the stored energy (E0E_0) is 50 kWh50\text{ kWh} and the grid demand factor (D0D_0) is 1010.

For each cycle kk:
- Stored energy updates according to the demand factor of the previous cycle: Ek=Ek1+20E_k = E_{k-1} + 20 if Dk110D_{k-1} \ge 10; otherwise, Ek=Ek110E_k = E_{k-1} - 10.
- Grid demand factor updates according to: Dk=Dk12D_k = D_{k-1} - 2.

Which of the following statements regarding the system states must be true? (Select all that apply.)

Select all that apply

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Answer: At the end of Cycle 1 (k=1k = 1), the stored energy is 70 kWh70\text{ kWh}.; At the end of Cycle 3 (k=3k = 3), the grid demand factor is 44.

Answer

The statements confirming that the stored energy at the end of Cycle 1 is 70 kWh and that the grid demand factor at the end of Cycle 3 is 4 are both correct.
Evaluating the transition steps sequentially: At Cycle 1 (k=1k=1), D0=1010D_0 = 10 \ge 10, so stored energy becomes 50+20=70 kWh50 + 20 = 70\text{ kWh} and demand factor becomes 102=810 - 2 = 8. This confirms the statement regarding Cycle 1 stored energy. Continuing through Cycle 2 (D1=8<10E2=60,D2=6D_1 = 8 < 10 \Rightarrow E_2 = 60, D_2 = 6) to Cycle 3 (D2=6<10E3=50,D3=4D_2 = 6 < 10 \Rightarrow E_3 = 50, D_3 = 4), the grid demand factor reaches 44, confirming the statement regarding Cycle 3 grid demand.

Step-by-Step Solution

1
Calculate state values at the end of Cycle 1 (k=1k = 1)
E1=50+20=70 kWhE_1 = 50 + 20 = 70\text{ kWh} because D0=1010D_0 = 10 \ge 10. D1=102=8D_1 = 10 - 2 = 8.
Apply the conditional energy rule and the linear demand decrease rule using initial values.
2
Calculate state values at the end of Cycle 2 (k=2k = 2)
E2=7010=60 kWhE_2 = 70 - 10 = 60\text{ kWh} because D1=8<10D_1 = 8 < 10. D2=82=6D_2 = 8 - 2 = 6.
Since D1<10D_1 < 10, the energy decreases by 10 kWh10\text{ kWh}.
3
Calculate state values at the end of Cycle 3 (k=3k = 3)
E3=6010=50 kWhE_3 = 60 - 10 = 50\text{ kWh} because D2=6<10D_2 = 6 < 10. D3=62=4D_3 = 6 - 2 = 4.
Since D2<10D_2 < 10, the energy decreases by 10 kWh10\text{ kWh} and demand factor decreases by 22.

Key Concept

Sequential Processes and State Transitions
Question 8Question

An automated data-processing system updates two state metrics, XX and YY, through a sequential three-stage pipeline (k=1,2,3k = 1, 2, 3). Starting from an initial state (X0,Y0)(X_0, Y_0), the system updates the state variables at each stage kk according to the following transition rules:

1. Xk=Xk1+2Yk1X_k = X_{k-1} + 2Y_{k-1}
2. If Xk1X_{k-1} is even, Yk=Yk1+kY_k = Y_{k-1} + k; if Xk1X_{k-1} is odd, Yk=Yk1kY_k = Y_{k-1} - k.

Match each initial state configuration (X0,Y0)(X_0, Y_0) on the left to its corresponding final state (X3,Y3)(X_3, Y_3) after Stage 3 on the right.

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Items

Initial State: (X0,Y0)=(2,3)(X_0, Y_0) = (2, 3)
Initial State: (X0,Y0)=(3,5)(X_0, Y_0) = (3, 5)
Initial State: (X0,Y0)=(4,1)(X_0, Y_0) = (4, 1)
Initial State: (X0,Y0)=(5,2)(X_0, Y_0) = (5, 2)

Matches

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Answer

Initial State (2,3)(2,3) matches Final State (28,9)(28,9); Initial State (3,5)(3,5) matches Final State (25,1)(25,-1); Initial State (4,1)(4,1) matches Final State (18,7)(18,7); Initial State (5,2)(5,2) matches Final State (9,4)(9,-4).
Each initial state must be tracked through all three stages (k=1,2,3k=1, 2, 3) using the conditional rule based on whether the preceding value of XX is even or odd.

Step-by-Step Solution

1
Evaluate the state transition for Initial State (2,3)(2,3) across stages k=1,2,3k=1, 2, 3.
Stage 1: (8,4)(8,4), Stage 2: (16,6)(16,6), Stage 3: (28,9)(28,9).
Since XX remains even at every step (28162 \rightarrow 8 \rightarrow 16), YkY_k increases by kk at each stage.
2
Evaluate the state transition for Initial State (3,5)(3,5) across stages k=1,2,3k=1, 2, 3.
Stage 1: (13,4)(13,4), Stage 2: (21,2)(21,2), Stage 3: (25,1)(25,-1).
Since XX remains odd at every step (313213 \rightarrow 13 \rightarrow 21), YkY_k decreases by kk at each stage.
3
Evaluate the state transition for Initial State (4,1)(4,1) across stages k=1,2,3k=1, 2, 3.
Stage 1: (6,2)(6,2), Stage 2: (10,4)(10,4), Stage 3: (18,7)(18,7).
Since XX remains even at every step (46104 \rightarrow 6 \rightarrow 10), YkY_k increases by kk at each stage.
4
Evaluate the state transition for Initial State (5,2)(5,2) across stages k=1,2,3k=1, 2, 3.
Stage 1: (9,1)(9,1), Stage 2: (11,1)(11,-1), Stage 3: (9,4)(9,-4).
Since XX remains odd at every step (59115 \rightarrow 9 \rightarrow 11), YkY_k decreases by kk at each stage.

Key Concept

Multi-stage recursive state update logic and conditional branch evaluation.
Question 9Question

A chemical synthesis apparatus monitors two reactant volumes, AkA_k and BkB_k (in liters), across three sequential stages (k=1,2,3k = 1, 2, 3). At the initial state (k=0k = 0), the apparatus contains A0=100A_0 = 100 liters and B0=40B_0 = 40 liters.

For each subsequent stage kk, the volumes are updated sequentially according to the following state transition equations:
Ak=Ak1Bk1+40A_k = A_{k-1} - B_{k-1} + 40
Bk=Bk1+Ak1220B_k = B_{k-1} + \frac{A_{k-1}}{2} - 20

Based on the process above, which of the following statements regarding the reactant volumes are correct? Select all that apply.

Select all that apply

Show answer & explanation

Answer: At the end of Stage 2 (k=2k = 2), the volume of reactant A (A2A_2) is 70 liters.; At the end of Stage 3 (k=3k = 3), the volume of reactant B (B3B_3) is 115 liters.

Answer

The correct statements are that at the end of Stage 2, the volume of reactant A is 70 liters, and at the end of Stage 3, the volume of reactant B is 115 liters.
Evaluating the process iteratively stage by stage shows that at k=2k=2, A2=70A_2 = 70 liters, and at k=3k=3, B3=115B_3 = 115 liters. Both of these statements match the calculated values.

Step-by-Step Solution

1
Calculate state values at the end of Stage 1 (k=1k=1)
A1=10040+40=100A_1 = 100 - 40 + 40 = 100 liters; B1=40+100220=70B_1 = 40 + \frac{100}{2} - 20 = 70 liters.
Apply state equations using initial inputs A0=100A_0 = 100 and B0=40B_0 = 40.
2
Calculate state values at the end of Stage 2 (k=2k=2)
A2=10070+40=70A_2 = 100 - 70 + 40 = 70 liters; B2=70+100220=100B_2 = 70 + \frac{100}{2} - 20 = 100 liters.
Apply state equations using inputs A1=100A_1 = 100 and B1=70B_1 = 70.
3
Calculate state values at the end of Stage 3 (k=3k=3)
A3=70100+40=10A_3 = 70 - 100 + 40 = 10 liters; B3=100+70220=115B_3 = 100 + \frac{70}{2} - 20 = 115 liters.
Apply state equations using inputs A2=70A_2 = 70 and B2=100B_2 = 100.
4
Evaluate the proposed options against calculated values
The statement specifying A2=70A_2 = 70 liters is correct. The statement specifying B3=115B_3 = 115 liters is correct.
Match calculated state outputs with the offered statements.

Key Concept

Sequential Process Execution and Coupled State Transitions
Question 10Question

A regional logistics node routes cargo containers through a three-stage automated sorting process (k=1,2,3k = 1, 2, 3). At the start of Stage 1 (state k=0k = 0), the node holds V0=120V_0 = 120 heavy units and W0=80W_0 = 80 light units. For each stage k{1,2,3}k \in \{1, 2, 3\}, the counts of heavy units (VkV_k) and light units (WkW_k) transition according to the following rules:

- Vk=12Vk1+20V_k = \frac{1}{2} V_{k-1} + 20
- Wk=Wk1+14Vk110W_k = W_{k-1} + \frac{1}{4} V_{k-1} - 10

Which of the following statements regarding the state of the cargo units across these three stages are correct?

Select all that apply

Show answer & explanation

Answer: At the end of Stage 2 (k=2k = 2), the number of light units is 110110.; The total number of units (heavy plus light) at the end of Stage 3 (k=3k = 3) is 165165.

Answer

The correct statements are that at the end of Stage 2 (k=2k = 2), the number of light units is 110110, and the total number of units (heavy plus light) at the end of Stage 3 (k=3k = 3) is 165165.
Evaluating the multi-stage updates step by step shows that at Stage 2 (k=2k=2), W2=110W_2 = 110, making the statement about 110 light units at Stage 2 correct. At Stage 3 (k=3k=3), V3=50V_3 = 50 and W3=115W_3 = 115, giving a total of 50+115=16550 + 115 = 165 units, making the total unit statement at Stage 3 correct.

Step-by-Step Solution

1
Calculate state values at the end of Stage 1 (k=1k = 1)
V1=12(120)+20=80V_1 = \frac{1}{2}(120) + 20 = 80; W1=80+14(120)10=100W_1 = 80 + \frac{1}{4}(120) - 10 = 100. Total units T1=80+100=180T_1 = 80 + 100 = 180.
Apply the given transition rules to initial values V0=120V_0 = 120 and W0=80W_0 = 80.
2
Calculate state values at the end of Stage 2 (k=2k = 2)
V2=12(80)+20=60V_2 = \frac{1}{2}(80) + 20 = 60; W2=100+14(80)10=110W_2 = 100 + \frac{1}{4}(80) - 10 = 110. Total units T2=60+110=170T_2 = 60 + 110 = 170.
Apply transition rules to V1=80V_1 = 80 and W1=100W_1 = 100.
3
Calculate state values at the end of Stage 3 (k=3k = 3)
V3=12(60)+20=50V_3 = \frac{1}{2}(60) + 20 = 50; W3=110+14(60)10=115W_3 = 110 + \frac{1}{4}(60) - 10 = 115. Total units T3=50+115=165T_3 = 50 + 115 = 165.
Apply transition rules to V2=60V_2 = 60 and W2=110W_2 = 110.
4
Evaluate each candidate statement against the computed values
Statement regarding light units being 110 at Stage 2 is TRUE (W2=110W_2 = 110). Statement regarding total units being 165 at Stage 3 is TRUE (T3=165T_3 = 165). All other statements are false.
Compare calculated stage states directly with the statement claims.

Key Concept

Sequential state transitions involve iteratively updating state variables through defined algebraic relationships across multiple stages.
Question 11Question

A subscription service evaluates customer activity over a three-month period (k=1,2,3k = 1, 2, 3). At the end of each month kk, a customer's total loyalty points PkP_k update based on their points from the previous month Pk1P_{k-1} and the net points earned during month kk (Δk\Delta_k), according to the state transition rule:

Pk=0.8×Pk1+ΔkP_k = \lfloor 0.8 \times P_{k-1} \rfloor + \Delta_k

where x\lfloor x \rfloor represents the greatest integer less than or equal to xx.

At the end of Month 3 (k=3k = 3), membership tiers are assigned based on final points P3P_3:
- VIP Tier: P3150P_3 \ge 150
- Premium Tier: 80P3<15080 \le P_3 < 150
- Standard Tier: P3<80P_3 < 80

Match each initial customer profile (defined by initial points P0P_0 and monthly additions Δ1,Δ2,Δ3\Delta_1, \Delta_2, \Delta_3) to its corresponding final state at the end of Month 3.

Click a left item, then click its matching right item

Items

Profile 1: P0=100P_0 = 100; additions Δ1=50,Δ2=10,Δ3=40\Delta_1 = 50, \Delta_2 = 10, \Delta_3 = 40
Profile 2: P0=150P_0 = 150; additions Δ1=30,Δ2=40,Δ3=50\Delta_1 = 30, \Delta_2 = 40, \Delta_3 = 50
Profile 3: P0=90P_0 = 90; additions Δ1=0,Δ2=10,Δ3=20\Delta_1 = 0, \Delta_2 = 10, \Delta_3 = 20
Profile 4: P0=200P_0 = 200; additions Δ1=0,Δ2=10,Δ3=30\Delta_1 = 0, \Delta_2 = 10, \Delta_3 = 30

Matches

Show answer & explanation

Answer

Profile 1 matches Final Points: 131 (Premium Tier); Profile 2 matches Final Points: 178 (VIP Tier); Profile 3 matches Final Points: 73 (Standard Tier); Profile 4 matches Final Points: 140 (Premium Tier).
Each profile is evaluated by computing the exact state update Pk=0.8Pk1+ΔkP_k = \lfloor 0.8 \cdot P_{k-1} \rfloor + \Delta_k sequentially over three transitions. Profile 1 yields 131 points (Premium Tier), Profile 2 yields 178 points (VIP Tier), Profile 3 yields 73 points (Standard Tier), and Profile 4 yields 140 points (Premium Tier).

Step-by-Step Solution

1
Apply the state transition formula Pk=0.8×Pk1+ΔkP_k = \lfloor 0.8 \times P_{k-1} \rfloor + \Delta_k iteratively across months k=1,2,3k = 1, 2, 3 for Profile 1.
P1=80+50=130P_1 = 80 + 50 = 130; P2=104+10=114P_2 = 104 + 10 = 114; P3=91+40=131P_3 = 91 + 40 = 131. Tier: Premium.
Tracking sequential updates ensures each intermediate decay and point addition step is accounted for accurately.
2
Apply the state transition formula iteratively across months k=1,2,3k = 1, 2, 3 for Profile 2.
P1=120+30=150P_1 = 120 + 30 = 150; P2=120+40=160P_2 = 120 + 40 = 160; P3=128+50=178P_3 = 128 + 50 = 178. Tier: VIP.
Continuous accumulation and decay calculation determines the final state threshold reached.
3
Apply the state transition formula iteratively across months k=1,2,3k = 1, 2, 3 for Profile 3.
P1=72+0=72P_1 = 72 + 0 = 72; P2=57+10=67P_2 = 57 + 10 = 67; P3=53+20=73P_3 = 53 + 20 = 73. Tier: Standard.
Floor function truncation must be evaluated at each step prior to adding monthly points.
4
Apply the state transition formula iteratively across months k=1,2,3k = 1, 2, 3 for Profile 4.
P1=160+0=160P_1 = 160 + 0 = 160; P2=128+10=138P_2 = 128 + 10 = 138; P3=110+30=140P_3 = 110 + 30 = 140. Tier: Premium.
Evaluating high starting values shows how retention decay influences final tier classification.

Key Concept

Sequential state transitions with floor function decay and additive step updates
Question 12Question

An automated server optimization pipeline adjusts cache memory CC (in megabytes) and latency LL (in milliseconds) across three sequential cycles (k=1,2,3k = 1, 2, 3). The initial values at cycle 00 are C0=100C_0 = 100 MB and L0=50L_0 = 50 ms. The state transitions occur according to the following rules:

- Cycle 1 (k=1k = 1): C1=C0+20C_1 = C_0 + 20, and L1=L00.2×C0L_1 = L_0 - 0.2 \times C_0.
- Cycle 2 (k=2k = 2): If L135L_1 \le 35, then C2=C130C_2 = C_1 - 30 and L2=L1+10L_2 = L_1 + 10; otherwise, C2=C1+10C_2 = C_1 + 10 and L2=L15L_2 = L_1 - 5.
- Cycle 3 (k=3k = 3): If C2<100C_2 < 100, then C3=1.5×C2C_3 = 1.5 \times C_2 and L3=L215L_3 = L_2 - 15; otherwise, C3=C2+20C_3 = C_2 + 20 and L3=L2+5L_3 = L_2 + 5.

Which of the following statements regarding the system metrics across these cycles are true? Select all that apply.

Select all that apply

Show answer & explanation

Answer: At the end of Cycle 1, the latency metric L1L_1 is equal to 3030 ms.; At the end of Cycle 3, the cache memory C3C_3 is equal to 135135 MB.; The net change in cache memory from Cycle 0 to Cycle 3 (C3C0C_3 - C_0) is 3535 MB.

Answer

The statements asserting that L1=30L_1 = 30 ms at the end of Cycle 1, C3=135C_3 = 135 MB at the end of Cycle 3, and the net change in cache memory C3C0=35C_3 - C_0 = 35 MB are correct.
The calculation reveals the complete sequence of state pairs (Ck,Lk)(C_k, L_k): (100,50)(120,30)(90,40)(135,25)(100, 50) \rightarrow (120, 30) \rightarrow (90, 40) \rightarrow (135, 25). Therefore, at Cycle 1, L1=30L_1 = 30 ms is true. At Cycle 3, C3=135C_3 = 135 MB is true. Finally, the net difference C3C0=135100=35C_3 - C_0 = 135 - 100 = 35 MB is also true.

Step-by-Step Solution

1
Calculate state values at Cycle 1 (k=1k=1)
C1=100+20=120C_1 = 100 + 20 = 120 MB, and L1=500.2×100=30L_1 = 50 - 0.2 \times 100 = 30 ms.
Direct evaluation of the Cycle 1 transition equations starting from C0=100C_0 = 100 and L0=50L_0 = 50.
2
Evaluate condition and calculate state values at Cycle 2 (k=2k=2)
Since L1=3035L_1 = 30 \le 35 is true, C2=12030=90C_2 = 120 - 30 = 90 MB and L2=30+10=40L_2 = 30 + 10 = 40 ms.
The condition L135L_1 \le 35 is satisfied, requiring the application of the primary branch.
3
Evaluate condition and calculate state values at Cycle 3 (k=3k=3)
Since C2=90<100C_2 = 90 < 100 is true, C3=1.5×90=135C_3 = 1.5 \times 90 = 135 MB and L3=4015=25L_3 = 40 - 15 = 25 ms.
The condition C2<100C_2 < 100 is satisfied, triggering the multiplicative increase in cache memory.
4
Verify overall net change and evaluate all option statements
C3C0=135100=35C_3 - C_0 = 135 - 100 = 35 MB. Statements matching L1=30L_1 = 30 ms, C3=135C_3 = 135 MB, and net change =35= 35 MB are true.
Compares calculated metrics against each provided statement.

Key Concept

Multi-stage conditional state transitions and sequential numerical processing
Question 13Question
A renewable energy storage station manages a grid battery system with an initial energy reserve of E0=100 MWhE_0 = 100\text{ MWh}. At the end of each operating interval kk (for k=1,2,3,4k = 1, 2, 3, 4), the updated energy reserve EkE_k (in MWh) transitions according to the rule:
Ek=0.8Ek1+PkE_k = 0.8 E_{k-1} + P_k
where PkP_k represents the net energy added during interval kk. The net additions for the four intervals are P1=40 MWhP_1 = 40\text{ MWh}, P2=10 MWhP_2 = 10\text{ MWh}, P3=50 MWhP_3 = 50\text{ MWh}, and P4=20 MWhP_4 = 20\text{ MWh}.

Arrange the operating intervals in ascending order based on the battery energy reserve EkE_k measured at the end of each interval, from the lowest energy reserve to the highest energy reserve.

Drag items to arrange them in the correct order

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Answer

The correct sequence from lowest to highest energy reserve is End of Interval 2 (106 MWh), End of Interval 1 (120 MWh), End of Interval 4 (127.84 MWh), and End of Interval 3 (134.8 MWh).
Evaluating each recursive state step by step yields E1=120 MWhE_1 = 120\text{ MWh}, E2=106 MWhE_2 = 106\text{ MWh}, E3=134.8 MWhE_3 = 134.8\text{ MWh}, and E4=127.84 MWhE_4 = 127.84\text{ MWh}. Arranging these quantities from smallest to largest results in the sequence: End of Interval 2, End of Interval 1, End of Interval 4, and End of Interval 3.

Step-by-Step Solution

1
Calculate the energy reserve at the end of Interval 1 (E1E_1)
E1=0.8(100)+40=80+40=120 MWhE_1 = 0.8(100) + 40 = 80 + 40 = 120\text{ MWh}
Apply the state transition formula using initial state E0=100 MWhE_0 = 100\text{ MWh} and addition P1=40 MWhP_1 = 40\text{ MWh}.
2
Calculate the energy reserve at the end of Interval 2 (E2E_2)
E2=0.8(120)+10=96+10=106 MWhE_2 = 0.8(120) + 10 = 96 + 10 = 106\text{ MWh}
Apply the state transition formula using state E1=120 MWhE_1 = 120\text{ MWh} and addition P2=10 MWhP_2 = 10\text{ MWh}.
3
Calculate the energy reserve at the end of Interval 3 (E3E_3)
E3=0.8(106)+50=84.8+50=134.8 MWhE_3 = 0.8(106) + 50 = 84.8 + 50 = 134.8\text{ MWh}
Apply the state transition formula using state E2=106 MWhE_2 = 106\text{ MWh} and addition P3=50 MWhP_3 = 50\text{ MWh}.
4
Calculate the energy reserve at the end of Interval 4 (E4E_4)
E4=0.8(134.8)+20=107.84+20=127.84 MWhE_4 = 0.8(134.8) + 20 = 107.84 + 20 = 127.84\text{ MWh}
Apply the state transition formula using state E3=134.8 MWhE_3 = 134.8\text{ MWh} and addition P4=20 MWhP_4 = 20\text{ MWh}.
5
Sort the computed values in ascending order
E2(106 MWh)<E1(120 MWh)<E4(127.84 MWh)<E3(134.8 MWh)E_2 (106\text{ MWh}) < E_1 (120\text{ MWh}) < E_4 (127.84\text{ MWh}) < E_3 (134.8\text{ MWh})
Comparing the values gives the exact ordered sequence: Interval 2, Interval 1, Interval 4, Interval 3.

Key Concept

Sequential Processes and State Transitions
Estimated Time:2m 0s
Question 14Question

An industrial water desalination facility routes seawater through a three-stage membrane filtration process (k=1,2,3k = 1, 2, 3). At stage k=0k = 0 (the initial feed stage), the water has a salt concentration of C0=800 ppmC_0 = 800\text{ ppm} and a flow rate of F0=120 liters/minF_0 = 120\text{ liters/min}.

At each subsequent stage kk (where k=1,2,3k = 1, 2, 3), the state of the water is updated according to the following sequential rules:
- Salt concentration: Ck=0.5Ck120 ppmC_k = 0.5 C_{k-1} - 20\text{ ppm}
- Flow rate: Fk=Fk115 liters/minF_k = F_{k-1} - 15\text{ liters/min}

Which of the following statements regarding the system's state transitions across the stages are true? Select all that apply.

Select all that apply

Show answer & explanation

Answer: At the end of Stage 2 (k=2k = 2), the salt concentration of the water is 170 ppm170\text{ ppm}.; At the end of Stage 3 (k=3k = 3), the water flow rate is 75 liters/min75\text{ liters/min}.

Answer

The correct statements are the one indicating a salt concentration of 170 ppm at Stage 2 and the one indicating a flow rate of 75 liters/min at Stage 3.
Evaluating each transition step sequentially gives C_1 = 380, C_2 = 170, and C_3 = 65 for salt concentration, and F_1 = 105, F_2 = 90, and F_3 = 75 for flow rate. The statement asserting a salt concentration of 170 ppm at Stage 2 and the statement asserting a flow rate of 75 liters/min at Stage 3 correctly reflect these evaluations.

Step-by-Step Solution

1
Calculate state metrics for Stage 1 (k = 1)
C_1 = 0.5(800) - 20 = 380 ppm; F_1 = 120 - 15 = 105 liters/min
Apply the recursive transition functions once from initial state k = 0.
2
Calculate state metrics for Stage 2 (k = 2)
C_2 = 0.5(380) - 20 = 170 ppm; F_2 = 105 - 15 = 90 liters/min
Apply the recursive transition functions to the Stage 1 outputs.
3
Calculate state metrics for Stage 3 (k = 3)
C_3 = 0.5(170) - 20 = 65 ppm; F_3 = 90 - 15 = 75 liters/min
Apply the recursive transition functions to the Stage 2 outputs.
4
Verify each statement against calculated values
Stage 2 salt concentration is 170 ppm (True) and Stage 3 flow rate is 75 liters/min (True).
Identify all statements that match the calculated sequence values.

Key Concept

Multi-stage recursive state evaluation and linear parameter transition tracking.
Question 15Question

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 16Question

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 17Question

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 18Question

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