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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q211-Q216):

NEW QUESTION # 211
A company is using a Single-AZ Amazon RDS for MySQL DB instance for development. The DB instance is experiencing slow performance when queries are executed. Amazon CloudWatch metrics indicate that the instance requires more I/O capacity.
Which actions can a database specialist perform to resolve this issue? (Choose two.)

• A. Increase the I/O parameter in Amazon RDS Enhanced Monitoring.
• B. Restart the application tool used to execute queries.
• C. Convert from General Purpose to Provisioned IOPS (PIOPS).
• D. Convert from Single-AZ to Multi-AZ.
• E. Change to a database instance class with higher throughput.

Answer: C,E Explanation:
Explanation
https://aws.amazon.com/blogs/database/best-storage-practices-for-running-production-workloads-on-hosted-data
"If you find the pattern of IOPS usage consistently going beyond more than 16,000, you should modify the DB instance and change the storage type from gp2 to io1.
NEW QUESTION # 212
A database specialist is responsible for an Amazon RDS for MySQL DB instance with one read replic a. The DB instance and the read replica are assigned to the default parameter group. The database team currently runs test queries against a read replica. The database team wants to create additional tables in the read replica that will only be accessible from the read replica to benefit the tests.
Which should the database specialist do to allow the database team to create the test tables?

• A. Create a new DB parameter group. Change the readonly parameter to false (readonly=0). Associate the read replica with the new group. Reboot the read replica. Connect to the read replica and create the tables.
• B. Change the readonly parameter to false (readonly=0) in the default parameter group of the read replica. Perform a reboot without failover. Connect to the read replica and create the tables using the local_only MySQL option.
• C. Contact AWS Support to disable read-only mode on the read replica. Reboot the read replica. Connect to the read replica and create the tables.
• D. Change the readonly parameter to false (readonly=0) in the default parameter group. Reboot the read replica. Connect to the read replica and create the tables.

Answer: A Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/rds-read-replica/
NEW QUESTION # 213
A company is closing one of its remote data centers. This site runs a 100 TB on-premises data warehouse solution. The company plans to use the AWS Schema Conversion Tool (AWS SCT) and AWS DMS for the migration to AWS. The site network bandwidth is 500 Mbps. A Database Specialist wants to migrate the on-premises data using Amazon S3 as the data lake and Amazon Redshift as the data warehouse. This move must take place during a 2-week period when source systems are shut down for maintenance. The data should stay encrypted at rest and in transit.
Which approach has the least risk and the highest likelihood of a successful data transfer?

• A. Leverage AWS SCT and apply the converted schema to Amazon Redshift. Once complete, use a fleet of10 TB dedicated encrypted drives using the AWS Import/Export feature to copy data from on-premises toAmazon S3 with AWS KMS encryption. Use AWS Glue to load the data to Amazon redshift.
• B. Set up a VPN tunnel for encrypting data over the network from the data center to AWS. Leverage a nativedatabase export feature to export the data and compress the files. Use the aws S3 cp multi-port uploadcommand to upload these files to Amazon S3 with AWS KMS encryption. Once complete, load the data toAmazon Redshift using AWS Glue.
• C. Leverage AWS SCT and apply the converted schema to Amazon Redshift. Start an AWS DMS task withtwo AWS Snowball Edge devices to copy data from on-premises to Amazon S3 with AWS KMS encryption.Use AWS DMS to finish copying data to Amazon Redshift.
• D. Set up a VPN tunnel for encrypting data over the network from the data center to AWS. Leverage AWSSCT and apply the converted schema to Amazon Redshift. Once complete, start an AWS DMS task tomove the data from the source to Amazon S3. Use AWS Glue to load the data from Amazon S3 to AmazonRedshift.

Answer: A
NEW QUESTION # 214
An IT consulting company wants to reduce costs when operating its development environment databases. The company's workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.
Which of the following provides the MOST cost-effective solution?

• A. Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for eachdevelopment group. Enable the option to pause the compute capacity on the cluster and set an appropriatetimeout.
• B. Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group.Delete the stack at the end of the development cycle.
• C. Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for eachdevelopment group, and promote each replica to master. Delete the replicas at the end of the developmentcycle.
• D. Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and createclone instances for the development groups. Delete the clones at the end of the development cycle.

Answer: A
NEW QUESTION # 215
A company has a heterogeneous six-node production Amazon Aurora DB cluster that handles online transaction processing (OLTP) for the core business and OLAP reports for the human resources department. To match compute resources to the use case, the company has decided to have the reporting workload for the human resources department be directed to two small nodes in the Aurora DB cluster, while every other workload goes to four large nodes in the same DB cluster.
Which option would ensure that the correct nodes are always available for the appropriate workload while meeting these requirements?

• A. Create additional readers to cater to the different scenarios.
• B. Use the writer endpoint for OLTP and the reader endpoint for the OLAP reporting workload.
• C. Use automatic scaling for the Aurora Replica to have the appropriate number of replicas for the desired workload.
• D. Use custom endpoints to satisfy the different workloads.

Answer: D Explanation:
https://aws.amazon.com/about-aws/whats-new/2018/11/amazon-aurora-simplifies-workload-management-with-custom-endpoints/ You can now create custom endpoints for Amazon Aurora databases. This allows you to distribute and load balance workloads across different sets of database instances in your Aurora cluster. For example, you may provision a set of Aurora Replicas to use an instance type with higher memory capacity in order to run an analytics workload. A custom endpoint can then help you route the analytics workload to these appropriately-configured instances, while keeping other instances in your cluster isolated from this workload. As you add or remove instances from the custom endpoint to match your workload, the endpoint helps spread the load around.
NEW QUESTION # 216
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