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NEW QUESTION 26
A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.
What can the Database Specialist do to reduce the overall cost?
- A. Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.
- B. Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.
- C. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.
- D. Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION 27
A database specialist manages a critical Amazon RDS for MySQL DB instance for a company. The data stored daily could vary from .01% to 10% of the current database size. The database specialist needs to ensure that the DB instance storage grows as needed.
What is the MOST operationally efficient and cost-effective solution?
- A. Modify the DB instance allocated storage to meet the forecasted requirements.
- B. Monitor the Amazon CloudWatch FreeStorageSpace metric daily and add storage as required.
- C. Configure RDS Storage Auto Scaling.
- D. Configure RDS instance Auto Scaling.
Answer: C
Explanation:
Explanation
If your workload is unpredictable, you can enable storage autoscaling for an Amazon RDS DB instance. With storage autoscaling enabled, when Amazon RDS detects that you are running out of free database space it automatically scales up your storage.
https://aws.amazon.com/about-aws/whats-new/2019/06/rds-storage-auto-scaling/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PIOPS.StorageTypes.html#USER_PIOPS.A
NEW QUESTION 28
A large ecommerce company uses Amazon DynamoDB to handle the transactions on its web portal. Traffic patterns throughout the year are usually stable; however, a large event is planned. The company knows that traffic will increase by up to 10 times the normal load over the 3-day event. When sale prices are published during the event, traffic will spike rapidly.
How should a Database Specialist ensure DynamoDB can handle the increased traffic?
- A. Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic
- B. Ensure the table is always provisioned to meet peak needs
- C. Allow burst capacity to handle the additional load
- D. Preprovision additional capacity for the known peaks and then reduce the capacity after the event
Answer: C
NEW QUESTION 29
A financial institution uses AWS to host its online application. Amazon RDS for MySQL is used to host the application's database, which includes automatic backups.
The program has corrupted the database logically, resulting in the application being unresponsive. The exact moment the corruption occurred has been determined, and it occurred within the backup retention period.
How should a database professional restore a database to its previous state prior to corruption?
- A. Restore using the latest automated backup. Change the application connection string to the new, restored DB instance.
- B. Restore using the appropriate automated backup. No changes to the application connection string are required.
- C. Use the point-in-time restore capability to restore the DB instance to the specified time. Change the application connection string to the new, restored DB instance.
- D. Use the point-in-time restore capability to restore the DB instance to the specified time. No changes to the application connection string are required.
Answer: C
Explanation:
Explanation
When you perform a restore operation to a point in time or from a DB Snapshot, a new DB Instance is created with a new endpoint (the old DB Instance can be deleted if so desired). This is done to enable you to create multiple DB Instances from a specific DB Snapshot or point in time."
NEW QUESTION 30
A corporation wishes to move a 1 TB Oracle database from its current location to an Amazon Aurora PostgreSQL DB cluster. The database specialist at the firm noticed that the Oracle database stores 100 GB of large binary objects (LOBs) across many tables. The Oracle database supports LOBs up to 500 MB in size and an average of 350 MB. AWS DMS was picked by the Database Specialist to transfer the data with the most replication instances.
How should the database specialist improve the transfer of the database to AWS DMS?
- A. Create two tasks: task1 with LOB tables using full LOB mode with a LOB chunk size of 500 MB and task2 without LOBs
- B. Create a single task using limited LOB mode with a maximum LOB size of 500 MB to migrate data and LOBs together
- C. Create two tasks: task1 with LOB tables using limited LOB mode with a maximum LOB size of 500 MB and task 2 without LOBs
- D. Create a single task using full LOB mode with a LOB chunk size of 500 MB to migrate the data and LOBs together
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html#CHAP_BestPractices.LOBS,
"AWS DMS migrates LOB data in two phases: 1. AWS DMS creates a new row in the target table and populates the row with all data except the associated LOB value. 2.AWS DMS updates the row in the target table with the LOB data." This means that we would need two tasks, one per phase and use limited LOB mode for best performance.
NEW QUESTION 31
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