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NEW QUESTION 20
A company developed an AWS CloudFormation template used to create all new Amazon DynamoDB tables in its AWS account. The template configures provisioned throughput capacity using hard-coded values. The company wants to change the template so that the tables it creates in the future have independently configurable read and write capacity units assigned.
Which solution will enable this change?
- A. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
Configure DynamoDB to provision throughput capacity using the stack’s mappings.
- B. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.
- C. Add values for the rcuCount and wcuCount parameters as outputs of the template. Configure DynamoDB to provision throughput capacity using the stack outputs.
- D. Add values for two Number parameters, rcuCount and wcuCount, to the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.
Input parameter and FindInMap You can use an input parameter with the Fn::FindInMap function to refer to a specific value in a map. For example, suppose you have a list of regions and environment types that map to a specific AMI ID. You can select the AMI ID that your stack uses by using an input parameter (EnvironmentType). To determine the region, use the AWS::Region pseudo parameter, which gets the AWS Region in which you create the stack.
NEW QUESTION 21
A corporation is transitioning from an IBM Informix database to an Amazon RDS for SQL Server Multi-AZ implementation with Always On Availability Groups (AGs). SQL Server Agent tasks are scheduled to execute at 5-minute intervals on the Always On AG listener to synchronize data between the Informix and SQL Server databases. After a successful failover to the backup node with minimum delay, users endure hours of stale data.
How can a database professional guarantee that consumers view the most current data after a failover?
- A. Create the SQL Server Agent jobs on the secondary node from a script when the secondary node takes over after a failure.
- B. Set TTL to less than 30 seconds for cached DNS values on the Always On AG listener.
- C. Break up large transactions into multiple smaller transactions that complete in less than 5 minutes.
- D. Set the databases on the secondary node to read-only mode.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_SQLServerMultiAZ.html If you have SQL Server Agent jobs, recreate them on the secondary. You do so because these jobs are stored in the msdb database, and you can’t replicate this database by using Database Mirroring (DBM) or Always On Availability Groups (AGs). Create the jobs first in the original primary, then fail over, and create the same jobs in the new primary.
NEW QUESTION 22
An internet advertising firm stores its data in an Amazon DynamoDb table. Amazon DynamoDB Streams are enabled on the table, and one of the keys has a global secondary index. The table is encrypted using a customer-managed AWS Key Management Service (AWS KMS) key.
The firm has chosen to grow worldwide and want to duplicate the database using DynamoDB global tables in a new AWS Region.
An administrator observes the following upon review:
* No role with the dynamodb: CreateGlobalTable permission exists in the account.
* An empty table with the same name exists in the new Region where replication is desired.
* A global secondary index with the same partition key but a different sort key exists in the new Region where replication is desired.
Which settings will prevent you from creating a global table or replica in the new Region? (Select two.)
- A. A global secondary index with the same partition key but a different sort key exists in the new Region where replication is desired.
- B. No role with the dynamodb:CreateGlobalTable permission exists in the account.
- C. An empty table with the same name exists in the Region where replication is desired.
- D. DynamoDB Streams is enabled for the table.
- E. The table is encrypted using a KMS customer managed key.
NEW QUESTION 23
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 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.
- B. Run native PostgreSQL logical replication from the Db2 database to an Aurora DB cluster to evaluate the migration compatibility.
- 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.
* Converts DB/DW schema from source to target (including procedures / views / secondary indexes / FK and constraints)
* Mainly for heterogeneous DB migrations and DW migrations
NEW QUESTION 24
A company’s database specialist is building an Amazon RDS for Microsoft SQL Server DB instance to store hundreds of records in CSV format. A customer service tool uploads the records to an Amazon S3 bucket.
An employee who previously worked at the company already created a custom stored procedure to map the necessary CSV fields to the database tables. The database specialist needs to implement a solution that reuses this previous work and minimizes operational overhead.
Which solution will meet these requirements?
- A. Create an Amazon S3 event to invoke an AWS Lambda function. Configure the Lambda function to parse the .csv file and use a SQL client library to run INSERT statements to load the data into the tables.
- B. Create an Amazon S3 event to invoke AWS Step Functions to parse the .csv file and call the custom stored procedure to insert the data into the tables.
- C. Write a custom .NET app that is hosted on Amazon EC2. Configure the .NET app to load the .csv file and call the custom stored procedure to insert the data into the tables.
- D. Download the .csv file from Amazon S3 to the RDS D drive by using an AWS msdb stored procedure. Call the custom stored procedure to insert the data from the RDS D drive into the tables.
Step 1: Download S3 Files
Amazon RDS for SQL Server comes with several custom stored procedures and functions. These are located in the msdb database. The stored procedure to download files from S3 is “rds_download_from_s3”. The syntax for this stored procedure is shown here:
NEW QUESTION 25
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