Tüm alıştırma soruları

An enterprise is designing a data storage solution on Azure Blob Storage for an application that processes transactional logs. The storage requirements are as follows:

* Newly generated logs are accessed frequently for the first 30 days, and queries require sub-second retrieval times.
* Logs between 31 and 90 days old are accessed occasionally for monthly reports, and must also be available with sub-second retrieval times.
* Logs older than 90 days are rarely accessed but must be retained for 5 years to comply with regulatory audits. For these audits, a retrieval latency of up to 15 hours is acceptable.
* Storage costs must be minimized, and early deletion charges must be avoided.

Which two actions should you include in the lifecycle management policy to meet these requirements? (Select two.)

You are designing the compute infrastructure for a critical real-time logistics routing application in Azure.

The solution must meet the following requirements:
- The compute tier must achieve an uptime Service Level Agreement (SLA) of $99.99\%$.
- The tier must support a mix of standard CPU-optimized Virtual Machines (VMs) for routing calculations and GPU-enabled VMs for machine learning models within the same logical group.
- The compute instances must support auto-scaling and rolling upgrades.
- VMs that collaborate on a specific regional route calculation must have network latency of less than $1\text{ ms}$ between each other.

Which compute configuration should you recommend?

An organization named AeroQuest Logistics uses an Azure Storage account configured with Read-access geo-redundant storage (RA-GRS) to store critical transit logs. The primary region hosting the storage account experiences a prolonged regional outage. The logistics application needs to resume write operations as quickly as possible. Which action should you recommend?

A financial services company is designing a new cloud-native application on Azure. The application will consist of several containerized microservices that process transactions.

The design requirements are as follows:
* The microservices must scale dynamically based on the number of messages in an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA).
* Administrative effort for infrastructure management, such as cluster upgrades and node patching, must be minimized.
* The application does not require direct access to the Kubernetes API or custom resource definitions (CRDs).
* The application must be deployed across two different Azure regions to comply with strict regional data sovereignty laws. Log data originating from each region must be kept isolated and accessible only within that region.

You need to recommend a solution that meets the requirements.

Which solution should you recommend?

An automotive manufacturing company runs a critical assembly line coordination system on Azure virtual machines in the UK South region. The system consists of two tiers:
1. An application tier with three stateless web servers (`VM-App1`, `VM-App2`, and `VM-App3`).
2. A database tier running SQL Server on a virtual machine (`VM-DB1`).

The data and log disks on `VM-DB1` have a combined write churn of $75\text{ MB/s}$, with the transaction log disk alone reaching a continuous write churn of $60\text{ MB/s}$. The business requires a Recovery Point Objective (RPO) of $15$ minutes and a Recovery Time Objective (RTO) of $2$ hours for the entire system.

Which disaster recovery strategy should you recommend to meet the requirements?

A financial software company is migrating an on-premises document management system to Azure. The system requires a shared file storage solution accessible over SMB that can support an active-active configuration across multiple compute instances. The solution must guarantee single-digit millisecond latency for file operations and must survive the failure of an entire datacenter in the primary region without any data loss or application downtime. Which storage tier and redundancy option should you recommend to meet these requirements?

An organization is designing a high-availability compute infrastructure for a mission-critical financial transactions processing application in Azure. The compute tier will run on Azure Virtual Machines.

The solution must meet the following requirements:
- Provide a virtual machine uptime SLA of at least $99.99\%$.
- Support automatic scaling of the compute tier using Virtual Machine Scale Sets (VMSS) with Flexible orchestration mode.
- Ensure the lowest possible network latency between the application VMs and a database cluster.

Which two actions should you include in the design? (Select two.)

Skyline Freight Systems is designing a disaster recovery strategy for its shipment tracking application. The application writes critical transit logs to Azure Blob Storage. The design must meet the following requirements:
- Data must be replicated to a secondary Azure region.
- In the event of a primary region outage, the application must be able to read data from the secondary region.
- The recovery point objective (RPO) must be less than 15 minutes.
- If a failover is initiated to the secondary region, the application must be able to resume write operations.

Which two of the following configuration options and operational behaviors should you include in the design? (Select TWO)

A company is designing a data storage solution on Azure Blob Storage to store monthly application transaction logs. The logs are stored in a General-purpose v2 storage account. The lifecycle requirements for the logs are as follows:
- For the first $45$ days after creation, logs are actively queried by an analytical application requiring sub-second retrieval latency.
- From day $46$ to day $180$, logs are rarely accessed, but when they are, they must be retrieved within $5$ minutes.
- From day $181$ to day $365$, logs are only stored for compliance preparation. Retrieval latency of up to $15$ hours is acceptable.
- After $365$ days, the logs must be deleted permanently.

To minimize storage and retrieval costs, which of the following lifecycle management rule configurations should you recommend?

An online education platform is designing a storage solution for video course materials using Azure Blob Storage. The solution must meet the following requirements:
- Replicate data across three availability zones in the primary region to protect against a zone outage.
- Replicate data to a secondary region to protect against a regional disaster.
Which two redundancy configuration options should you recommend? (Select two.)

A digital media broadcasting company is designing an Azure compute infrastructure for two new workloads:
- Workload 1: A video rendering system that processes non-urgent, interruptible background encoding tasks. The primary goal is to minimize compute costs, even if virtual machines are evicted during processing.
- Workload 2: A core licensing service that processes cryptographic keys, handles highly sensitive user data, requires physical isolation at the hardware level due to regulatory compliance, and must run continuously with a 99.99% availability SLA.

Which two compute virtualization solutions should you recommend to meet the requirements for these workloads? (Select two.)

AquaShield Water Solutions is designing a disaster recovery solution for an application that processes real-time telemetry from water treatment facilities. The telemetry logs are written continuously to an Azure Blob Storage account in the East US region. The solution must meet the following requirements:
- During normal operations, the application must read and write data in the primary region.
- If a disaster disables the primary region, the application must be able to read existing telemetry logs immediately from a secondary region.
- The Recovery Point Objective (RPO) for data loss must be less than 15 minutes.
- If the primary region remains unavailable for an extended period, the application must be able to write new logs to the secondary region.
- Storage costs must be minimized.

Which storage configuration and disaster recovery strategy should you recommend?

An organization is designing a container-based application on Azure that consists of public-facing web microservices and background processing jobs.

The application has the following requirements:
- The background processing jobs must scale dynamically to zero based on the number of messages in an Azure Service Bus queue.
- The web microservices must scale based on concurrent HTTP requests.
- You must minimize the administrative effort required to manage the container hosting infrastructure.
- You must store application logs in a way that strictly isolates development environment data from production environment data.

Which two components should you recommend as part of the architecture? (Select two.)

An enterprise is designing the compute architecture for a high-performance distributed database on Azure. The solution must meet the following requirements:

- Achieve a virtual machine uptime SLA of at least $99.99\%$.
- Provide resiliency against a complete datacenter zone failure.
- Minimize network latency between the active database nodes within each region.

Which compute configuration should you recommend to meet these requirements?

You are designing the hosting infrastructure for a new event-driven image processing solution in Azure. The solution has the following workloads:

* API Ingestion: A lightweight endpoint that receives image upload metadata. It requires rapid auto-scaling to handle unpredictable spikes in traffic, and it must scale to zero instances during idle periods to minimize costs. It does not require virtual network (VNet) integration.
* Image Analyzer: A background processor that pulls image analysis tasks from a queue, processes the images, and writes the output to an Azure SQL Database. The processor requires VNet integration to connect securely to the database via a private endpoint, can take up to $15$ minutes to process a single complex image, and must scale to zero instances when the queue is empty to minimize costs.

Which compute configuration should you recommend to meet these requirements?

A multinational bank is designing the compute virtualization infrastructure for a critical, steady-state financial compliance auditing application. The application has the following requirements:

- Must run continuously $24$ hours a day, $7$ days a week ($24/7$) without unexpected evictions or interruptions.
- Must be deployed on physical servers dedicated to a single customer to satisfy hardware isolation compliance rules.
- Must support memory-optimized virtual machines with high memory-to-vCPU ratios.
- Must achieve a minimum compute availability SLA of $99.99\%$.

Which of the following compute virtualization solutions should you recommend to meet these requirements?

An insurance company is designing a disaster recovery (DR) solution to replicate its on-premises VMware workloads to Azure. The workload consists of two virtual machines:

- VM-App: An application server with an average write churn of $3\text{ MB/s}$ and a peak write churn of $8\text{ MB/s}$.
- VM-Data: A database server with a single data disk that experiences an average write churn of $28\text{ MB/s}$ and a peak write churn of $45\text{ MB/s}$.

The DR solution must support a Recovery Point Objective (RPO) of under 2 hours and a Recovery Time Objective (RTO) of under 1 hour.

Which two actions should you include in the disaster recovery design?

A pharmaceutical company named Apex BioPharm is designing a business continuity solution for a clinical trials database application. The application writes critical patient monitoring logs to an Azure Storage account.

The solution must meet the following requirements:
- If the primary Azure region experiences an outage, data must remain readable from the secondary region.
- In the event of a disaster, write capabilities must be restored in the secondary region with a Recovery Time Objective (RTO) of $2$ hours.
- The Recovery Point Objective (RPO) must be less than $15$ minutes.
- Costs must be minimized.

Which two actions should you recommend to meet the requirements? (Select TWO.)

A financial services firm is designing a data retention strategy for transaction audit logs stored in an Azure Data Lake Storage Gen2 (ADLS Gen2) account. The logs must be managed according to the following requirements:

* The logs are actively analyzed and must remain in the Hot tier for the first $15$ days.
* From day $16$ to day $90$, the logs are accessed occasionally for reporting. The reporting application requires immediate, sub-second retrieval latency.
* After $90$ days, the logs must be retained for $7$ years ($2,555$ days) to comply with regulatory audits. During this time, they are rarely accessed, and a retrieval latency of several hours is acceptable.
* Storage costs must be minimized.

Which lifecycle management policy should you recommend?

A retail company is designing the hosting architecture for a new serverless order management system. The solution must host two distinct services:

1. An order intake service that processes incoming HTTP webhooks. This service must scale dynamically to zero when idle and executes for less than three minutes per invocation.
2. A data ingestion background service that processes large files from a storage queue. Each message processing job runs continuously and can take up to 25 minutes to complete.

Which two Azure hosting options should you recommend to meet these requirements while minimizing administrative overhead? (Select TWO.)