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NEW QUESTION 42
A company needs to migrate Oracle Database Standard Edition running on an Amazon EC2 instance to an Amazon RDS for Oracle DB instance with Multi-AZ. The database supports an ecommerce website that runs continuously. The company can only provide a maintenance window of up to 5 minutes.
Which solution will meet these requirements?
- A. Configure Oracle Real Application Clusters (RAC) on the EC2 instance and the RDS DB instance.
Update the connection string to point to the RAC cluster. Once the EC2 instance and RDS DB instance are in sync, fail over from Amazon EC2 to Amazon RDS. - B. Configure AWS DataSync with the EC2 instance as the source and the RDS DB instance as the destination. Stop the application when the replication is in sync, change the database connection string, and then restart the application.
- C. Export the Oracle database from the EC2 instance using Oracle Data Pump and perform an import into Amazon RDS. Stop the application for the entire process. When the import is complete, change the database connection string and then restart the application.
- D. Configure AWS DMS with the EC2 instance as the source and the RDS DB instance as the destination.
Stop the application when the replication is in sync, change the database connection string, and then restart the application.
Answer: D
NEW QUESTION 43
A company is migrating a mission-critical 2-TB Oracle database from on premises to Amazon Auror a. The cost for the database migration must be kept to a minimum, and both the on-premises Oracle database and the Aurora DB cluster must remain open for write traffic until the company is ready to completely cut over to Aurora.
Which combination of actions should a database specialist take to accomplish this migration as quickly as possible? (Choose two.)
- A. Create an AWS DMS task to migrate data from the Oracle database to the Aurora DB cluster. Select the migration type to replicate ongoing changes to keep the source and target databases in sync until the company is ready to move all user traffic to the Aurora DB cluster.
- B. Create an AWS DMS task to migrate data from the Oracle database to the Aurora DB cluster. Once the initial load is complete, create an AWS Kinesis Data Firehose stream to perform change data capture (CDC) until the company is ready to move all user traffic to the Aurora DB cluster.
- C. Use Oracle's Data Pump tool to export a copy of the source database schema and manually edit the schema in a text editor to make it compatible with Aurora.
- D. Use the AWS Schema Conversion Tool (AWS SCT) to convert the source database schema. Then restore the converted schema to the target Aurora DB cluster.
- E. Create an AWS Glue job and related resources to migrate data from the Oracle database to the Aurora DB cluster. Once the initial load is complete, create an AWS DMS task to perform change data capture (CDC) until the company is ready to move all user traffic to the Aurora DB cluster.
Answer: B,D
NEW QUESTION 44
An online retail company is planning a multi-day flash sale that must support processing of up to 5,000 orders per second. The number of orders and exact schedule for the sale will vary each day. During the sale, approximately 10,000 concurrent users will look at the deals before buying items. Outside of the sale, the traffic volume is very low. The acceptable performance for read/write queries should be under 25 ms. Order items are about 2 KB in size and have a unique identifier. The company requires the most cost-effective solution that will automatically scale and is highly available.
Which solution meets these requirements?
- A. Amazon DynamoDB with on-demand capacity mode
- B. Amazon Aurora with one writer node and two cross-Region Aurora Replicas
- C. Amazon Aurora with one writer node and an Aurora Replica with the parallel query feature enabled
- D. Amazon DynamoDB with provisioned capacity mode with 5,000 write capacity units (WCUs) and 10,000 read capacity units (RCUs)
Answer: D
NEW QUESTION 45
A company is developing a new web application. An AWS CloudFormation template was created as a part of the build process.
Recently, a change was made to an AWS::RDS::DBInstance resource in the template. The CharacterSetName property was changed to allow the application to process international text. A change set was generated using the new template, which indicated that the existing DB instance should be replaced during an upgrade.
What should a database specialist do to prevent data loss during the stack upgrade?
- A. Modify the stack policy using the aws cloudformation update-stack command and the set-stack-policy command, then make the DB resource protected.
- B. Create a snapshot of the DB instance. Update the stack. Restore the database to a new instance.
- C. Deactivate any applications that are using the DB instance. Create a snapshot of the DB instance. Modify the template to add the DBSnapshotIdentifier property with the ID of the DB snapshot. Update the stack and reactivate the applications.
- D. Create a snapshot of the DB instance. Modify the template to add the DBSnapshotIdentifier property with the ID of the DB snapshot. Update the stack.
Answer: C
NEW QUESTION 46
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