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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q156-Q161):

NEW QUESTION # 156
A company uses Microsoft SQL Server on Amazon RDS in a Multi-AZ deployment as the database engine for its application. The company was recently acquired by another company. A database specialist must rename the database to follow a new naming standard.
Which combination of steps should the database specialist take to rename the database? (Choose two.)

  • A. Turn off Multi-AZ for the DB instance. Rename the database with the rdsadmin.dbo.rds_modify_db_name stored procedure. Turn on Multi-AZ Mirroring.
  • B. Update the DNS record for the DB instance.
  • C. Delete all existing snapshots for the DB instance. Use the rdsadmin.dbo.rds_modify_db_name stored procedure.
  • D. Update the application with the new database connection string.
  • E. Turn off automatic snapshots for the DB instance. Rename the database with the rdsadmin.dbo.rds_modify_db_name stored procedure. Turn on the automatic snapshots.

Answer: A,D

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Appendix.SQLServer.CommonDBATasks.RenamingDB.html


NEW QUESTION # 157
A security team is conducting an audit for a financial company. The security team discovers that the database credentials of an Amazon RDS for MySQL DB instance are hardcoded in the source code. The source code is stored in a shared location for automatic deployment and is exposed to all users who can access the location.
A database specialist must use encryption to ensure that the credentials are not visible in the source code.
Which solution will meet these requirements?

  • A. Store the source code to access the credentials in an AWS Systems Manager Parameter Store secure string parameter that is encrypted by AWS Key Management Service (AWS KMS). Access the code with calls to Systems Manager.
  • B. Use an AWS Key Management Service (AWS KMS) key to encrypt the DB instance at rest. Activate RDS encryption in transit by using SSL certificates.
  • C. Store the credentials in an AWS Systems Manager Parameter Store secure string parameter that is encrypted by AWS Key Management Service (AWS KMS). Access the credentials with calls to Systems Manager.
  • D. Use an AWS Key Management Service (AWS KMS) key to encrypt the most recent database backup. Restore the backup as a new database to activate encryption.

Answer: C

Explanation:
only creds in system manager secure parameter.


NEW QUESTION # 158
A significant automotive manufacturer is switching a mission-critical finance application's database to Amazon DynamoDB. According to the company's risk and compliance policy, any update to the database must be documented as a log entry for auditing purposes. Each minute, the system anticipates about 500,000 log entries. Log entries should be kept in Apache Parquet files in batches of at least 100,000 records per file.
How could a database professional approach these needs while using DynamoDB?

  • A. Enable Amazon DynamoDB Streams on the table. Create an AWS Lambda function triggered by the stream. Write the log entries to an Amazon S3 object.
  • B. Create a backup plan in AWS Backup to back up the DynamoDB table once a day. Create an AWS Lambda function that restores the backup in another table and compares both tables for changes. Generate the log entries and write them to an Amazon S3 object.
  • C. Enable Amazon DynamoDB Streams on the table. Create an AWS Lambda function triggered by the stream. Write the log entries to an Amazon Kinesis Data Firehose delivery stream with buffering and Amazon S3 as the destination.
  • D. Enable AWS CloudTrail logs on the table. Create an AWS Lambda function that reads the log files once an hour and filters DynamoDB API actions. Write the filtered log files to Amazon S3.

Answer: C


NEW QUESTION # 159
An online advertising website uses an Amazon DynamoDB table with on-demand capacity mode as its data store. The website also has a DynamoDB Accelerator (DAX) cluster in the same VPC as its web application server. The application needs to perform infrequent writes and many strongly consistent reads from the data store by querying the DAX cluster.
During a performance audit, a systems administrator notices that the application can look up items by using the DAX cluster. However, the QueryCacheHits metric for the DAX cluster consistently shows 0 while the QueryCacheMisses metric continuously keeps growing in Amazon CloudWatch.
What is the MOST likely reason for this occurrence?

  • A. A VPC endpoint was not added to access DynamoDB.
  • B. A VPC endpoint was not added to access CloudWatch.
  • C. DynamoDB is scaling due to a burst in traffic, resulting in degraded performance.
  • D. Strongly consistent reads are always passed through DAX to DynamoDB.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DAX.concepts.html
"If the request specifies strongly consistent reads, DAX passes the request through to DynamoDB. The results from DynamoDB are not cached in DAX. Instead, they are simply returned to the application."


NEW QUESTION # 160
A company maintains several databases using Amazon RDS for MySQL and PostgreSQL. Each RDS database generates log files with retention periods set to their default values. The company has now mandated that database logs be maintained for up to 90 days in a centralized repository to facilitate real-time and after- the-fact analyses.
What should a Database Specialist do to meet these requirements with minimal effort?

  • A. Create an AWS Lambda function to download the logs from the RDS databases and publish the logs to Amazon CloudWatch Logs. Change the log retention policy for the log group to expire the events after
    90 days.
  • B. Write a stored procedure in each RDS database to download the logs and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • C. Create an AWS Lambda function to pull logs from the RDS databases and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • D. Modify the RDS databases to publish log to Amazon CloudWatch Logs. Change the log retention policy for each log group to expire the events after 90 days.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.Procedural.UploadtoCloudWatc
https://aws.amazon.com/premiumsupport/knowledge-center/rds-aurora-mysql-logs-cloudwatch/
https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_PutRetentionPolicy.html


NEW QUESTION # 161
......

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