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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 298 - DBS-C01 discussion

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A gaming company is building a mobile game that will have as many as 25,000 active concurrent users in the first 2 weeks after launch. The game has a leaderboard that shows the 10 highest scoring players over the last 24 hours. The leaderboard calculations are processed by an AWS Lambda function, which takes about 10 seconds. The company wants the data on the leaderboard to be no more than 1 minute old.

Which architecture will meet these requirements in the MOST operationally efficient way?

A.
Deliver the player data to an Amazon Timestream database. Create an Amazon ElastiCache for Redis cluster. Configure the Lambda function to store the results in Redis. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the Redis cluster for the leaderboard data.
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A.
Deliver the player data to an Amazon Timestream database. Create an Amazon ElastiCache for Redis cluster. Configure the Lambda function to store the results in Redis. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the Redis cluster for the leaderboard data.
B.
Deliver the player data to an Amazon Timestream database. Create an Amazon DynamoDB table. Configure the Lambda function to store the results in DynamoDB. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the DynamoDB table for the leaderboard data.
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B.
Deliver the player data to an Amazon Timestream database. Create an Amazon DynamoDB table. Configure the Lambda function to store the results in DynamoDB. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the DynamoDB table for the leaderboard data.
C.
Deliver the player data to an Amazon Aurora MySQL database. Create an Amazon DynamoDB table. Configure the Lambda function to store the results in MySQL. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the DynamoDB table for the leaderboard data.
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C.
Deliver the player data to an Amazon Aurora MySQL database. Create an Amazon DynamoDB table. Configure the Lambda function to store the results in MySQL. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the DynamoDB table for the leaderboard data.
D.
Deliver the player data to an Amazon Neptune database. Create an Amazon ElastiCache for Redis cluster. Configure the Lambda function to store the results in Redis. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the Redis cluster for the leaderboard data.
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D.
Deliver the player data to an Amazon Neptune database. Create an Amazon ElastiCache for Redis cluster. Configure the Lambda function to store the results in Redis. Create a scheduled event with Amazon EventBridge to invoke the Lambda function once every minute. Reconfigure the game server to query the Redis cluster for the leaderboard data.
Suggested answer: A

Explanation:

Amazon Timestream is a serverless time series database service that allows you to store and analyze time series data at any scale1.It is well suited for gaming applications that generate high volumes of data from player events, such as scores, achievements, and actions2.Amazon ElastiCache for Redis is a fully managed in-memory data store that provides fast and scalable performance for applications that need sub-millisecond latency3. It can be used as a cache layer to store frequently accessed data, such as leaderboard results, and reduce the load on the database. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. It can be used to process the data from Amazon Timestream and store the leaderboard results in Amazon ElastiCache for Redis. Amazon EventBridge is a serverless event bus service that makes it easy to connect your applications with data from a variety of sources. It can be used to create a scheduled event that triggers the Lambda function once every minute, ensuring that the leaderboard data is updated regularly. The game server can then query the Redis cluster for the leaderboard data, which will be no more than 1 minute old.

Option B is incorrect because Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It is not designed for time series data, which requires efficient ingestion, compression, and querying of high-volume data streams. Option C is incorrect because Amazon Aurora is a relational database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. It is not optimized for time series data, which requires specialized indexing and partitioning techniques. Option D is incorrect because Amazon Neptune is a graph database that supports property graph and RDF models. It is not suitable for time series data, which requires high ingestion rates and temporal queries.

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asked 16/09/2024
IOSSIF ZINGUER
46 questions
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