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NEW QUESTION 40
A large IT hardware manufacturing company wants to deploy a MySQL database solution in the AWS Cloud. The solution should quickly create copies of the company's production databases for test purposes. The solution must deploy the test databases in minutes, and the test data should match the latest production data as closely as possible. Developers must also be able to make changes in the test database and delete the instances afterward.
Which solution meets these requirements?

• A. Leverage Amazon RDS for MySQL with write-enabled replicas running on Amazon EC2. Create the test copies using a mysqidump backup from the RDS for MySQL DB instances and importing them into the new EC2 instances.
• B. Leverage Amazon Aurora MySQL. Use database cloning to create multiple test copies of the production DB clusters.
• C. Leverage Amazon RDS for MySQL. Use database cloning to create multiple developer copies of the production DB instance.
• D. Leverage Amazon Aurora MySQL. Restore previous production DB instance snapshots into new test copies of Aurora MySQL DB clusters to allow them to make changes.

Answer: B

NEW QUESTION 41
A company is looking to move an on-premises IBM Db2 database running AIX on an IBM POWER7 server. Due to escalating support and maintenance costs, the company is exploring the option of moving the workload to an Amazon Aurora PostgreSQL DB cluster.
What is the quickest way for the company to gather data on the migration compatibility?

• A. Run native PostgreSQL logical replication from the Db2 database to an Aurora DB cluster to evaluate the migration compatibility.
• B. Run AWS DMS from the Db2 database to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing the row counts from source and target tables.
• C. Run the AWS Schema Conversion Tool (AWS SCT) from the Db2 database to an Aurora DB cluster. Create a migration assessment report to evaluate the migration compatibility.
• D. Perform a logical dump from the Db2 database and restore it to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing row counts from source and target tables.

Answer: C

NEW QUESTION 42
A financial company wants to store sensitive user data in an Amazon Aurora PostgreSQL DB cluster. The database will be accessed by multiple applications across the company. The company has mandated that all communications to the database be encrypted and the server identity must be validated. Any non-SSL-based connections should be disallowed access to the database.
Which solution addresses these requirements?

• A. Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=allow.
• B. Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-ca.
• C. Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-full.
• D. Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=disable.

Answer: C

Explanation:
Explanation
PostgreSQL: sslrootcert=rds-cert.pem sslmode=[verify-ca | verify-full]

NEW QUESTION 43
A company just migrated to Amazon Aurora PostgreSQL from an on-premises Oracle database. After the migration, the company discovered there is a period of time every day around 3:00 PM where the response time of the application is noticeably slower. The company has narrowed down the cause of this issue to the database and not the application.
Which set of steps should the Database Specialist take to most efficiently find the problematic PostgreSQL query?

• A. Modify the logging database parameter to log all the queries related to locking in the database and thencheck the logs after the next slow period for this information.
• B. Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and diskspace consumption. Watch these dashboards during the next slow period.
• C. Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring toolthat will run reports based on the output error logs.
• D. Enable Amazon RDS Performance Insights on the PostgreSQL database. Use the metrics to identify anyqueries that are related to spikes in the graph during the next slow period.

Answer: D

NEW QUESTION 44
A ride-hailing application uses an Amazon RDS for MySQL DB instance as persistent storage for bookings.
This application is very popular and the company expects a tenfold increase in the user base in next few months. The application experiences more traffic during the morning and evening hours.
This application has two parts:
* An in-house booking component that accepts online bookings that directly correspond to simultaneous requests from users.
* A third-party customer relationship management (CRM) component used by customer care representatives. The CRM uses queries to access booking data.
A database specialist needs to design a cost-effective database solution to handle this workload. Which solution meets these requirements?

• A. Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to an Amazon SQS queue. This triggers another Lambda function that pulls data from Amazon SQS and writes it to the RDS for MySQL DB instance used by the CRM.
• B. Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to an Amazon Redshift database used by the CRM.
• C. Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to the RDS for MySQL DB instance used by the CRM.
• D. Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to Amazon Athena, which is used by the CRM.

Answer: D

NEW QUESTION 45
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