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NEW QUESTION 29 A team of Database Specialists is currently investigating performance issues on an Amazon RDS for MySQL DB instance and is reviewing related metrics. The team wants to narrow the possibilities down to specific database wait events to better understand the situation. How can the Database Specialists accomplish this?

• A. Enable Amazon RDS Performance Insights and review the appropriate dashboard
• B. Create appropriate Amazon CloudWatch dashboards to contain specific periods of time
• C. Enable the option to push all database logs to Amazon CloudWatch for advanced analysis
• D. Enable Enhanced Monitoring will the appropriate settings

Answer: A Explanation: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PerfInsights.Enabling.html https://aws.amazon.com/rds/performance-insights/ https://aws.amazon.com/blogs/database/tuning-amazon-rds-for-mysql-with-performance-insights/   NEW QUESTION 30 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. Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring toolthat will run reports based on the output error logs.
• B. 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.
• C. Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and diskspace consumption. Watch these dashboards during the next slow period.
• D. 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.

Answer: B   NEW QUESTION 31 A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company's network bandwidth is available. How should the company perform this data load?

• A. Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• B. Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• C. Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• D. Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

Answer: A Explanation: Explanation "AWS DataSync is an online data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services, and also between AWS storage services." https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html   NEW QUESTION 32 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 as outputs of the template. Configure DynamoDB to provision throughput capacity using the stack outputs.
• C. 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.
• 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.

Answer: D   NEW QUESTION 33 A company wants to automate the creation of secure test databases with random credentials to be stored safely for later use. The credentials should have sufficient information about each test database to initiate a connection and perform automated credential rotations. The credentials should not be logged or stored anywhere in an unencrypted form. Which steps should a Database Specialist take to meet these requirements using an AWS CloudFormation template?

• A. Create the database with the MasterUserName and MasterUserPassword properties set to the default values. Then, create the secret with the user name and password set to the same default values. Add a Secret Target Attachment resource with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database. Finally, update the secret's password value with a randomly generated string set by the GenerateSecretString property.
• B. Create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add an SecretTargetAttachment resource with the SecretId property set to the Amazon Resource Name (ARN) of the secret and the TargetId property set to a parameter value matching the desired database ARN. Then, create a database with the MasterUserName and MasterUserPassword properties set to the previously created values in the secret.
• C. Add a Mapping property from the database Amazon Resource Name (ARN) to the secret ARN. Then, create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add the database with the MasterUserName and MasterUserPassword properties set to the user name of the secret.
• D. Add a resource of type AWS::SecretsManager::Secret and specify the GenerateSecretString property. Then, define the database user name in the SecureStringTemplate template. Create a resource for the database and reference the secret string for the MasterUserName and MasterUserPassword properties. Then, add a resource of type AWS::SecretsManagerSecretTargetAttachment with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database.

Answer: D   NEW QUESTION 34 ......