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An ecommerce company uses Amazon DynamoDB as the backend for its payments system. A new regulation requires the company to log all data access requests for financial audits. For this purpose, the company plans to use AWS logging and save logs to Amazon S3 How can a database specialist activate logging on the database?
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 company is about to launch a new product, and test databases must be re-created from production dat a. The company runs its production databases on an Amazon Aurora MySQL DB cluster. A Database Specialist needs to deploy a solution to create these test databases as quickly as possible with the least amount of administrative effort. What should the Database Specialist do to meet these requirements?
A company is due for renewing its database license. The company wants to migrate its 80 TB transactional database system from on-premises to the AWS Cloud. The migration should incur the least possible downtime on the downstream database applications. The company’s network infrastructure has limited network bandwidth that is shared with other applications. Which solution should a database specialist use for a timely migration?
A marketing company is developing an application to track responses to email message campaigns. The company needs a database storage solution that is optimized to work with highly connected dat a. The database needs to limit connections and programmatic access to the data by using IAM policies. Which solution will meet these requirements?
An online bookstore uses Amazon Aurora MySQL as its backend database. After the online bookstore added a popular book to the online catalog, customers began reporting intermittent timeouts on the checkout page. A database specialist determined that increased load was causing locking contention on the database. The database specialist wants to automatically detect and diagnose database performance issues and to resolve bottlenecks faster. Which solution will meet these requirements?
A global digital advertising company captures browsing metadata to contextually display relevant images, pages, and links to targeted users. A single page load can generate multiple events that need to be stored individually. The maximum size of an event is 200 KB and the average size is 10 KB. Each page load must query the user’s browsing history to provide targeting recommendations. The advertising company expects over 1 billion page visits per day from users in the United States, Europe, Hong Kong, and Indi a. The structure of the metadata varies depending on the event. Additionally, the browsing metadata must be written and read with very low latency to ensure a good viewing experience for the users. Which database solution meets these requirements?
A company wants to migrate its existing on-premises Oracle database to Amazon Aurora PostgreSQL. The migration must be completed with minimal downtime using AWS DMS. A Database Specialist must validate that the data was migrated accurately from the source to the target before the cutover. The migration must have minimal impact on the performance of the source database. Which approach will MOST effectively meet these requirements?
A Database Specialist is setting up a new Amazon Aurora DB cluster with one primary instance and three Aurora Replicas for a highly intensive, business-critical application. The Aurora DB cluster has one medium- sized primary instance, one large-sized replica, and two medium sized replicas. The Database Specialist did not assign a promotion tier to the replicas. In the event of a primary failure, what will occur?
A company maintains several databases using Amazon RDS for MySQL and PostgreSQL. Each RDS database generates log files with retention periods set to their default values. The company has now mandated that database logs be maintained for up to 90 days in a centralized repository to facilitate real-time and after- the-fact analyses. What should a Database Specialist do to meet these requirements with minimal effort?

Question 274 - DBS-C01 discussion

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An online retailer uses Amazon DynamoDB for its product catalog and order dat a. Some popular items have led to frequently accessed keys in the data, and the company is using DynamoDB Accelerator (DAX) as the caching solution to cater to the frequently accessed keys. As the number of popular products is growing, the company realizes that more items need to be cached. The company observes a high cache miss rate and needs a solution to address this issue.

What should a database specialist do to accommodate the changing requirements for DAX?

A.
Increase the number of nodes in the existing DAX cluster.
Answers
A.
Increase the number of nodes in the existing DAX cluster.
B.
Create a new DAX cluster with more nodes. Change the DAX endpoint in the application to point to the new cluster.
Answers
B.
Create a new DAX cluster with more nodes. Change the DAX endpoint in the application to point to the new cluster.
C.
Create a new DAX cluster using a larger node type. Change the DAX endpoint in the application to point to the new cluster.
Answers
C.
Create a new DAX cluster using a larger node type. Change the DAX endpoint in the application to point to the new cluster.
D.
Modify the node type in the existing DAX cluster.
Answers
D.
Modify the node type in the existing DAX cluster.
Suggested answer: C

Explanation:

Create a new DAX cluster using a larger node type. ChangeExplanation from Amazon documents:The cache miss rate is the percentage of read requests that are not satisfied by the DAX cache and have to be forwarded to DynamoDB1. A high cache miss rate indicates that the DAX cluster does not have enough memory to store all the frequently accessed items. Increasing the number of nodes in the existing DAX cluster (option A) or creating a new DAX cluster with more nodes (option B) will not increase the total memory available for caching, because DAX uses a partitioned cache model, where each node is responsible for caching a subset of the data2. Modifying the node type in the existing DAX cluster (option D) will cause downtime and data loss, because DAX does not support online resizing of clusters3. Therefore, the best option is to create a new DAX cluster using a larger node type (option C), which will provide more memory per node and allow more items to be cached. The application will need to change the DAX endpoint to point to the new cluster, which can be done with minimal disruption by using DNS aliasing or load balancing3.

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asked 16/09/2024
Kristian Gutierrez
47 questions
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