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Exam Code: AWS Certified Cloud Practitioner CLF-C02
Exam Name: AWS Certified Cloud Practitioner CLF-C02
Certification Provider: Amazon
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AWS Certified Cloud Practitioner CLF-C02 Practice Test 56

Question 550

A migration or service change has been completed: Consider Amazon DocumentDB with MongoDB compatibility constraints checked. Which result demonstrates its intended effect?

  1. The application uses supported Cassandra-compatible operations.
  2. The app uses document queries through its supported API.
  3. The primary can fail over to the standby after a relevant outage.
  4. The database uses the chosen Aurora compatibility interface and managed distributed storage.

Explanation

Correct Answer

B:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. The decision directly serves an application needs a managed document-oriented database compatible with a supported MongoDB workload; it produces the testable result that the app uses document queries through its supported API.

Incorrect Answers

A:

Keyspaces provides managed Cassandra-compatible database APIs. That result validates evaluate Amazon Keyspaces for Cassandra-compatible workloads, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

C:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. That result validates enable RDS Multi-AZ deployment where supported, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. That result validates evaluate Amazon Aurora in the appropriate compatible engine mode, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

Question 551

A project fails its cloud design review because: An ordinary RDS engine does not automatically provide Aurora's specialized storage architecture. What should the team change?

  1. Use Amazon Timestream for time-series data.
  2. Consider Amazon DocumentDB with MongoDB compatibility constraints checked.
  3. Use Amazon Redshift for cloud data warehousing.
  4. Evaluate Amazon Aurora in the appropriate compatible engine mode.

Explanation

Correct Answer

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. Given that a growing relational application specifically wants Aurora's AWS-designed distributed storage and MySQL or PostgreSQL compatibility, success means the database uses the chosen Aurora compatibility interface and managed distributed storage.

Incorrect Answers

A:

Timestream is purpose-built for time-indexed metrics and sensor events. Its observable effect is measurements are queried by time range and dimensions, while the intended outcome here is the database uses the chosen Aurora compatibility interface and managed distributed storage.

B:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. It would instead yield the app uses document queries through its supported API; the problem requires the database uses the chosen Aurora compatibility interface and managed distributed storage.

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a growing relational application specifically wants Aurora's AWS-designed distributed storage and MySQL or PostgreSQL compatibility.

Question 552

A company has chosen this AWS approach: Create suitable RDS read replicas for read scaling. Which observation would best confirm that it met the intended requirement?

  1. Cache hits return frequently requested records without querying the source database.
  2. Read-only queries are served from replica endpoints.
  3. Analysts run aggregations over curated analytical data using SQL.
  4. Measurements are queried by time range and dimensions.

Explanation

Correct Answer

B:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. The decision directly serves a high-read relational app needs additional read capacity without moving its primary write endpoint; it produces the testable result that read-only queries are served from replica endpoints.

Incorrect Answers

A:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. That result validates use Amazon ElastiCache for an appropriate in-memory cache, rather than the stated decision to create suitable RDS read replicas for read scaling.

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. That result validates use Amazon Redshift for cloud data warehousing, rather than the stated decision to create suitable RDS read replicas for read scaling.

D:

Timestream is purpose-built for time-indexed metrics and sensor events. That result validates use Amazon Timestream for time-series data, rather than the stated decision to create suitable RDS read replicas for read scaling.

Question 553

After implementing the decision, Use Amazon ElastiCache for an appropriate in-memory cache, what should the team expect to observe?

  1. Measurements are queried by time range and dimensions.
  2. The app uses document queries through its supported API.
  3. Read-only queries are served from replica endpoints.
  4. Cache hits return frequently requested records without querying the source database.

Explanation

Correct Answer

D:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. The requirement is that a latency-sensitive application repeatedly reads the same product records from a primary database; the observable success condition is that cache hits return frequently requested records without querying the source database.

Incorrect Answers

A:

Timestream is purpose-built for time-indexed metrics and sensor events. That result validates use Amazon Timestream for time-series data, rather than the stated decision to use Amazon ElastiCache for an appropriate in-memory cache.

B:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. That result validates consider Amazon DocumentDB with MongoDB compatibility constraints checked, rather than the stated decision to use Amazon ElastiCache for an appropriate in-memory cache.

C:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. That result validates create suitable RDS read replicas for read scaling, rather than the stated decision to use Amazon ElastiCache for an appropriate in-memory cache.

Question 554

The cloud team has decided on this approach: Use Amazon Redshift for cloud data warehousing. Which statement explains why it satisfies the scenario?

  1. Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby.
  2. DynamoDB is a managed NoSQL key-value and document database with scalable request capacity.
  3. Redshift is designed for analytic warehouse workloads and columnar data processing.
  4. MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache.

Explanation

Correct Answer

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. The decision directly serves a business intelligence group needs to run large analytical SQL queries across aggregated business data; it produces the testable result that analysts run aggregations over curated analytical data using SQL.

Incorrect Answers

A:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. This is the rationale for create suitable RDS read replicas for read scaling in a different situation; the chosen action is use Amazon Redshift for cloud data warehousing.

B:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. This is the rationale for use Amazon DynamoDB tables in a different situation; the chosen action is use Amazon Redshift for cloud data warehousing.

D:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. This is the rationale for evaluate Amazon MemoryDB for Redis-compatible durability needs in a different situation; the chosen action is use Amazon Redshift for cloud data warehousing.

Question 555

A project owner states the following business and technical constraint: A workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns. Which response fits?

  1. Use Amazon Redshift for cloud data warehousing.
  2. Enable RDS Multi-AZ deployment where supported.
  3. Consider Amazon DocumentDB with MongoDB compatibility constraints checked.
  4. Evaluate Amazon MemoryDB for Redis-compatible durability needs.

Explanation

Correct Answer

D:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. Given that a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns, success means the application has an in-memory database with durability-oriented design.

Incorrect Answers

A:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns.

B:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. Its observable effect is the primary can fail over to the standby after a relevant outage, while the intended outcome here is the application has an in-memory database with durability-oriented design.

C:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. It would instead yield the app uses document queries through its supported API; the problem requires the application has an in-memory database with durability-oriented design.

Question 556

A service owner selects this control or capability: Enable RDS Multi-AZ deployment where supported. What evidence would show the requirement is satisfied?

  1. The primary can fail over to the standby after a relevant outage.
  2. Analysts run aggregations over curated analytical data using SQL.
  3. The destination catches up with source changes ahead of cutover.
  4. The database uses the chosen Aurora compatibility interface and managed distributed storage.

Explanation

Correct Answer

A:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. It avoids the specific failure that a single-AZ database remains exposed to its one AZ failure, and the outcome confirms that the primary can fail over to the standby after a relevant outage.

Incorrect Answers

B:

Redshift is designed for analytic warehouse workloads and columnar data processing. That result validates use Amazon Redshift for cloud data warehousing, rather than the stated decision to enable RDS Multi-AZ deployment where supported.

C:

AWS DMS helps migrate databases and replicate supported changes during transition. That result validates consider AWS Database Migration Service with suitable endpoints and tasks, rather than the stated decision to enable RDS Multi-AZ deployment where supported.

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. That result validates evaluate Amazon Aurora in the appropriate compatible engine mode, rather than the stated decision to enable RDS Multi-AZ deployment where supported.

Question 557

A migration or service change has been completed: Consider AWS Database Migration Service with suitable endpoints and tasks. Which result demonstrates its intended effect?

  1. Measurements are queried by time range and dimensions.
  2. The application has an in-memory database with durability-oriented design.
  3. The application uses supported Cassandra-compatible operations.
  4. The destination catches up with source changes ahead of cutover.

Explanation

Correct Answer

D:

AWS DMS helps migrate databases and replicate supported changes during transition. The decision directly serves an engineer wants to move a database from one platform to AWS with ongoing change replication before cutover; it produces the testable result that the destination catches up with source changes ahead of cutover.

Incorrect Answers

A:

Timestream is purpose-built for time-indexed metrics and sensor events. That result validates use Amazon Timestream for time-series data, rather than the stated decision to consider AWS Database Migration Service with suitable endpoints and tasks.

B:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. That result validates evaluate Amazon MemoryDB for Redis-compatible durability needs, rather than the stated decision to consider AWS Database Migration Service with suitable endpoints and tasks.

C:

Keyspaces provides managed Cassandra-compatible database APIs. That result validates evaluate Amazon Keyspaces for Cassandra-compatible workloads, rather than the stated decision to consider AWS Database Migration Service with suitable endpoints and tasks.

Question 558

A company needs a targeted remedy for this cloud problem: Treating an ordinary cache as the system of record can lose unpersisted business data. Which proposed action is best?

  1. Consider AWS Database Migration Service with suitable endpoints and tasks.
  2. Use Amazon Timestream for time-series data.
  3. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  4. Use Amazon Redshift for cloud data warehousing.

Explanation

Correct Answer

C:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. The decision directly serves a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns; it produces the testable result that the application has an in-memory database with durability-oriented design.

Incorrect Answers

A:

AWS DMS helps migrate databases and replicate supported changes during transition. The condition for that alternative is an engineer wants to move a database from one platform to AWS with ongoing change replication before cutover; this question instead needs the application has an in-memory database with durability-oriented design.

B:

Timestream is purpose-built for time-indexed metrics and sensor events. This action handles an IoT solution stores timestamped sensor measurements and queries time intervals, but it does not address the observed risk that treating an ordinary cache as the system of record can lose unpersisted business data.

D:

Redshift is designed for analytic warehouse workloads and columnar data processing. It would instead yield analysts run aggregations over curated analytical data using SQL; the problem requires the application has an in-memory database with durability-oriented design.

Question 559

The operations team reports a mismatch between the requirement and actual behavior: A single-AZ database remains exposed to its one AZ failure. Which action corrects it?

  1. Use Amazon Redshift for cloud data warehousing.
  2. Use Amazon Timestream for time-series data.
  3. Enable RDS Multi-AZ deployment where supported.
  4. Evaluate Amazon MemoryDB for Redis-compatible durability needs.

Explanation

Correct Answer

C:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. The decision directly serves a transactional RDS database needs a standby in a different Availability Zone for availability; it produces the testable result that the primary can fail over to the standby after a relevant outage.

Incorrect Answers

A:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a transactional RDS database needs a standby in a different Availability Zone for availability.

B:

Timestream is purpose-built for time-indexed metrics and sensor events. It would instead yield measurements are queried by time range and dimensions; the problem requires the primary can fail over to the standby after a relevant outage.

D:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. Its observable effect is the application has an in-memory database with durability-oriented design, while the intended outcome here is the primary can fail over to the standby after a relevant outage.

Question 560

For a workload about to launch on AWS, the requirement is: A high-read relational app needs additional read capacity without moving its primary write endpoint. Which option addresses it?

  1. Create suitable RDS read replicas for read scaling.
  2. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  3. Use Amazon Redshift for cloud data warehousing.
  4. Evaluate Amazon Keyspaces for Cassandra-compatible workloads.

Explanation

Correct Answer

A:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. The requirement is that a high-read relational app needs additional read capacity without moving its primary write endpoint; the observable success condition is that read-only queries are served from replica endpoints.

Incorrect Answers

B:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. It would instead yield the application has an in-memory database with durability-oriented design; the problem requires read-only queries are served from replica endpoints.

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a high-read relational app needs additional read capacity without moving its primary write endpoint.

D:

Keyspaces provides managed Cassandra-compatible database APIs. This action handles a team runs Apache Cassandra applications and wants an AWS-managed compatible database service, but it does not address the observed risk that enabling a standby solely for availability does not automatically scale application reads.

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