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Amazon Web Services DBS-C01 Exam Sample Questions

Question # 1

A company runs online transaction processing (OLTP) workloads on an Amazon RDS for PostgreSQL Multi-AZ DB instance. Tests were run on the database after work hours, which generated additional database logs. The free storage of the RDS DB instance is low due to these additional logs. What should the company do to address this space constraint issue?

A. Log in to the host and run the rm $PGDATA/pg_logs/* command

B. Modify the rds.log_retention_period parameter to 1440 and wait up to 24 hours for database logs to bedeleted

C. Create a ticket with AWS Support to have the logs deleted

D. Run the SELECT rds_rotate_error_log() stored procedure to rotate the logs

Answer

B.

Modify the rds.log_retention_period parameter to 1440 and wait up to 24 hours for database logs to bedeleted

---

Question # 2

A company migrated one of its business-critical database workloads to an Amazon Aurora Multi-AZ DB cluster. The company requires a very low RTO and needs to improve the application recovery time after database failovers. Which approach meets these requirements?

A. Set the max_connections parameter to 16,000 in the instance-level parameter group.

B. Modify the client connection timeout to 300 seconds.

C. Create an Amazon RDS Proxy database proxy and update client connections to point to the proxy endpoint

D. Enable the query cache at the instance level

Answer

C.

Create an Amazon RDS Proxy database proxy and update client connections to point to
the proxy endpoint

Explanation:
Amazon RDS Proxy allows applications to pool and share connections established with the
database, improving database efficiency and application scalability. With RDS Proxy,
failover times for Aurora and RDS databases are reduced by up to 66% and database
credentials, authentication, and access can be managed through integration with AWS
Secrets Manager and AWS Identity and Access Management (IAM).
https://aws.amazon.com/rds/proxy/

---

Question # 3

A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company’s network bandwidth is available. How should the company perform this data load?

A. Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

B. Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

C. Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

D. Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

Answer

C.

Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the
Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune
DB instance.

Explanation: "AWS DataSync is an online data transfer service that simplifies, automates,
and accelerates moving data between on-premises storage systems and AWS storage
services, and also between AWS storage services."
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html

---

Question # 4

A Database Specialist needs to speed up any failover that might occur on an Amazon Aurora PostgreSQL DB cluster. The Aurora DB cluster currently includes the primary instance and three Aurora Replicas. How can the Database Specialist ensure that failovers occur with the least amount of downtime for the application?

A. Set the TCP keepalive parameters low

B. Call the AWS CLI failover-db-cluster command

C. Enable Enhanced Monitoring on the DB cluster

D. Start a database activity stream on the DB cluster

Answer

B.

Call the AWS CLI failover-db-cluster command

---

Question # 5

A database specialist needs to configure an Amazon RDS for MySQL DB instance to close non-interactive connections that are inactive after 900 seconds. What should the database specialist do to accomplish this task?

A. Create a custom DB parameter group and set the wait_timeout parameter value to 900. Associate the DB instance with the custom parameter group.

B. Connect to the MySQL database and run the SET SESSION wait_timeout=900 command.

C. Edit the my.cnf file and set the wait_timeout parameter value to 900. Restart the DB instance.

D. Modify the default DB parameter group and set the wait_timeout parameter value to 900.

Answer

A.

Create a custom DB parameter group and set the wait_timeout parameter value to 900.
Associate the DB instance with the custom parameter group.

Explanation: https://aws.amazon.com/fr/blogs/database/best-practices-for-configuringparameters-
for-amazon-rds-for-mysql-part-3-parameters-related-to-security-operationalmanageability-
and-connectivity-timeout/
"You can set parameters globally using a parameter group. Alternatively, you can set them
for a particular session using the SET command."
https://aws.amazon.com/blogs/database/best-practices-for-configuring-parameters-foramazon-
rds-for-mysql-part-1-parameters-related-to-performance/

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