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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 275 - DBS-C01 discussion

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A database specialist is designing the database for a software-as-a-service (SaaS) version of an employee information application. In the current architecture, the change history of employee records is stored in a single table in an Amazon RDS for Oracle database. Triggers on the employee table populate the history table with historical records.

This architecture has two major challenges. First, there is no way to guarantee that the records have not been changed in the history table. Second, queries on the history table are slow because of the large size of the table and the need to run the queries against a large subset of data in the table.

The database specialist must design a solution that prevents modification of the historical records. The solution also must maximize the speed of the queries.

Which solution will meet these requirements?

A.
Migrate the current solution to an Amazon DynamoDB table. Use DynamoDB Streams to keep track of changes. Use DynamoDB Accelerator (DAX) to improve query performance.
Answers
A.
Migrate the current solution to an Amazon DynamoDB table. Use DynamoDB Streams to keep track of changes. Use DynamoDB Accelerator (DAX) to improve query performance.
B.
Write employee record history to Amazon Quantum Ledger Database (Amazon QLDB) for historical records and to an Amazon OpenSearch Service domain for queries.
Answers
B.
Write employee record history to Amazon Quantum Ledger Database (Amazon QLDB) for historical records and to an Amazon OpenSearch Service domain for queries.
C.
Use Amazon Aurora PostgreSQL to store employee record history in a single table. Use Aurora Auto Scaling to provision more capacity.
Answers
C.
Use Amazon Aurora PostgreSQL to store employee record history in a single table. Use Aurora Auto Scaling to provision more capacity.
D.
Build a solution that uses an Amazon Redshift cluster for historical records. Query the Redshift cluster directly as needed.
Answers
D.
Build a solution that uses an Amazon Redshift cluster for historical records. Query the Redshift cluster directly as needed.
Suggested answer: B

Explanation:

Answer:: BExplanation from Amazon documents:Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log of all your application changes. Amazon QLDB tracks each and every application data change and maintains a complete and verifiable history of changes over time1. This makes it ideal for storing historical records that need to be tamper-proof and auditable. Amazon QLDB also supports PartiQL, a SQL-compatible query language that lets you query data using familiar SQL operators2.Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) is a fully managed service that makes it easy to deploy, operate, and scale OpenSearch, an open source search and analytics engine. Amazon OpenSearch Service lets you store, search, and analyze large volumes of data quickly and at low cost3. You can use Amazon OpenSearch Service to index and query your employee record history data stored in Amazon QLDB using the QLDB Streams feature. This way, you can leverage the powerful search and analytics capabilities of OpenSearch Service to run fast and flexible queries on your historical data.Therefore, option B is the best solution that meets the requirements of preventing modification of the historical records and maximizing the speed of the queries. Option A is not suitable because DynamoDB is a key-value and document database that does not provide a ledger-like transaction log. Option C is not suitable because Aurora PostgreSQL is a relational database that does not guarantee immutability of the historical records. Option D is not suitable because Redshift is a data warehouse that is optimized for analytical queries on large datasets, not for storing and querying individual records.

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asked 16/09/2024
Katherine Messick
37 questions
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