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A Database Specialist is creating Amazon DynamoDB tables, Amazon CloudWatch alarms, and associated infrastructure for an Application team using a development AWS account. The team wants a deployment method that will standardize the core solution components while managing environmentspecific settings separately, and wants to minimize rework due to configuration errors. Which process should the Database Specialist recommend to meet these requirements?
A. Organize common and environmental-specific parameters hierarchically in the AWS
Systems Manager Parameter Store, then reference the parameters dynamically from an AWS CloudFormation template. Deploy the CloudFormation stack using the environment
name as a parameter.
B. Create a parameterized AWS CloudFormation template that builds the required objects. Keep separate environment parameter files in separate Amazon S3 buckets. Provide an AWS CLI command that deploys the CloudFormation stack directly referencing the appropriate parameter bucket.
C. Create a parameterized AWS CloudFormation template that builds the required objects. Import the template into the CloudFormation interface in the AWS Management Console. Make the required changes to the parameters and deploy the CloudFormation stack.
D. Create an AWS Lambda function that builds the required objects using an AWS SDK. Set the required parameter values in a test event in the Lambda console for each environment that the Application team can modify, as needed. Deploy the infrastructure by triggering the test event in the console.
A retail company uses Amazon Redshift Spectrum to run complex analytical queries on objects that are stored in an Amazon S3 bucket. The objects are joined with multiple dimension tables that are stored in an Amazon Redshift database. The company uses the database to create monthly and quarterly aggregated reports. Users who attempt to run queries are reporting the following error message: error: Spectrum Scan Error: Access throttled Which solution will resolve this error?
A. Check file sizes of fact tables in Amazon S3, and look for large files. Break up large files
into smaller files of equal size between 100 MB and 1 GB
B. Reduce the number of queries that users can run in parallel.
C. Check file sizes of fact tables in Amazon S3, and look for small files. Merge the small files into larger files of at least 64 MB in size.
D. Review and optimize queries that submit a large aggregation step to Redshift Spectrum.
A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run. Which action will improve query performance with the LEAST operational effort?
A. Migrate the database to a new Amazon Redshift data warehouse.
B. Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on.
C. Take a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable parallel query mode.
D. Add an Aurora read replica.
A business is launching a new Amazon RDS for SQL Server database instance. The organization wishes to allow auditing of the SQL Server database. Which measures should a database professional perform in combination to achieve this requirement? (Select two.)
A. Create a service-linked role for Amazon RDS that grants permissions for Amazon RDS
to store audit logs on Amazon S3.
B. Set up a parameter group to configure an IAM role and an Amazon S3 bucket for audit log storage. Associate the parameter group with the DB instance.
C. Disable Multi-AZ on the DB instance, and then enable auditing. Enable Multi-AZ after auditing is enabled.
D. Disable automated backup on the DB instance, and then enable auditing. Enable automated backup after auditing is enabled.
E. Set up an options group to configure an IAM role and an Amazon S3 bucket for audit log storage. Associate the options group with the DB instance.
A company hosts an on-premises Microsoft SQL Server Enterprise edition database with Transparent Data Encryption (TDE) enabled. The database is 20 TB in size and includes sparse tables. The company needs to migrate the database to Amazon RDS for SQL Server during a maintenance window that is scheduled for an upcoming weekend. Data-atrest encryption must be enabled for the target DB instance. Which combination of steps should the company take to migrate the database to AWS in the MOST operationally efficient manner? (Choose two.)
A. Use AWS Database Migration Service (AWS DMS) to migrate from the on-premises
source database to the RDS for SQL Server target database.
B. Disable TDE. Create a database backup without encryption. Copy the backup to Amazon S3.
C. Restore the backup to the RDS for SQL Server DB instance. Enable TDE for the RDS for SQL Server DB instance.
D. Set up an AWS Snowball Edge device. Copy the database backup to the device. Send the device to AWS. Restore the database from Amazon S3.
E. Encrypt the data with client-side encryption before transferring the data to Amazon RDS.
A company uses an on-premises Microsoft SQL Server database to host relational and JSON data and to run daily ETL and advanced analytics. The company wants to migrate the database to the AWS Cloud. Database specialist must choose one or more AWS services to run the company's workloads. Which solution will meet these requirements in the MOST operationally efficient manner?
A. Use Amazon Redshift for relational data. Use Amazon DynamoDB for JSON data
B. Use Amazon Redshift for relational data and JSON data.
C. Use Amazon RDS for relational data. Use Amazon Neptune for JSON data
D. Use Amazon Redshift for relational data. Use Amazon S3 for JSON data.
A pharmaceutical company uses Amazon Quantum Ledger Database (Amazon QLDB) to store its clinical trial data records. The company has an application that runs as AWS Lambda functions. The application is hosted in the private subnet in a VPC. The application does not have internet access and needs to read some of the clinical data records. The company is concerned that traffic between the QLDB ledger and the VPC could leave the AWS network. The company needs to secure access to the QLDB ledger and allow the VPC traffic to have read-only access. Which security strategy should a database specialist implement to meet these requirements?
A. Move the QLDB ledger into a private database subnet inside the VPC. Run the Lambda
functions inside the same VPC in an application private subnet. Ensure that the VPC route
table allows read-only flow from the application subnet to the database subnet.
B. Create an AWS PrivateLink VPC endpoint for the QLDB ledger. Attach a VPC policy to the VPC endpoint to allow read-only traffic for the Lambda functions that run inside the VPC.
C. Add a security group to the QLDB ledger to allow access from the private subnets inside the VPC where the Lambda functions that access the QLDB ledger are running.
D. Create a VPN connection to ensure pairing of the private subnet where the Lambda functions are running with the private subnet where the QLDB ledger is deployed.
A company has a quarterly customer survey. The survey uses an Amazon EC2 instance that is hosted in a public subnet to host a customer survey website. The company uses an Amazon RDS DB instance that is hosted in a private subnet in the same VPC to store the survey results. The company takes a snapshot of the DB instance after a survey is complete, deletes the DB instance, and then restores the DB instance from the snapshot when the survey needs to be conducted again. A database specialist discovers that the customer survey website times out when it attempts to establish a connection to the restored DB instance. What is the root cause of this problem?
A. The VPC peering connection has not been configured properly for the EC2 instance to
communicate with the DB instance.
B. The route table of the private subnet that hosts the DB instance does not have a NAT gateway configured for communication with the EC2 instance.
C. The public subnet that hosts the EC2 instance does not have an internet gateway configured for communication with the DB instance.
D. The wrong security group was associated with the new DB instance when it was restored from the snapshot.
A company is launching a new Amazon RDS for MySQL Multi-AZ DB instance to be used as a data store for a custom-built application. After a series of tests with point-in-time recovery disabled, the company decides that it must have point-in-time recovery reenabled before using the DB instance to store production data. What should a database specialist do so that point-in-time recovery can be successful?
A. Enable binary logging in the DB parameter group used by the DB instance.
B. Modify the DB instance and enable audit logs to be pushed to Amazon CloudWatch Logs.
C. Modify the DB instance and configure a backup retention period
D. Set up a scheduled job to create manual DB instance snapshots.
A company is running a blogging platform. A security audit determines that the Amazon RDS DB instance that is used by the platform is not configured to encrypt the data at rest. The company must encrypt the DB instance within 30 days. What should a database specialist do to meet this requirement with the LEAST amount of downtime?
A. Create a read replica of the DB instance, and enable encryption. When the read replica
is available, promote the read replica and update the endpoint that is used by the
application. Delete the unencrypted DB instance.
B. Take a snapshot of the DB instance. Make an encrypted copy of the snapshot. Restore the encrypted snapshot. When the new DB instance is available, update the endpoint that is used by the application. Delete the unencrypted DB instance.
C. Create a new encrypted DB instance. Perform an initial data load, and set up logical replication between the two DB instances When the new DB instance is in sync with the source DB instance, update the endpoint that is used by the application. Delete the unencrypted DB instance.
D. Convert the DB instance to an Amazon Aurora DB cluster, and enable encryption. When the DB cluster is available, update the endpoint that is used by the application to the cluster endpoint. Delete the unencrypted DB instance.
A company has an on-premises production Microsoft SQL Server with 250 GB of data in one database. A database specialist needs to migrate this on-premises SQL Server to Amazon RDS for SQL Server. The nightly native SQL Server backup file is approximately 120 GB in size. The application can be down for an extended period of time to complete the migration. Connectivity between the on-premises environment and AWS can be initiated from on-premises only. How can the database be migrated from on-premises to Amazon RDS with the LEAST amount of effort?
A. Back up the SQL Server database using a native SQL Server backup. Upload the
backup files to Amazon S3. Download the backup files on an Amazon EC2 instance and
restore them from the EC2 instance into the new production RDS instance.
B. Back up the SQL Server database using a native SQL Server backup. Upload the backup files to Amazon S3. Restore the backup files from the S3 bucket into the new production RDS instance.
C. Provision and configure AWS DMS. Set up replication between the on-premises SQL Server environment to replicate the database to the new production RDS instance.
D. Back up the SQL Server database using AWS Backup. Once the backup is complete, restore the completed backup to an Amazon EC2 instance and move it to the new production RDS instance.