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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q550-Q555):

NEW QUESTION # 550
A solutions architect is designing the storage architecture for a new web application used for storing and viewing engineering drawings. All application components will be deployed on the AWS infrastructure.
The application design must support caching to minimize the amount of time that users wait for the engineering drawings to load. The application must be able to store petabytes of data. Which combination of storage and caching should the solutions architect use?

A. Amazon Elastic Block Store (Amazon EBS) volumes with Amazon CloudFront
B. Amazon S3 with Amazon CloudFront
C. Amazon S3 Glacier with Amazon ElastiCache
D. AWS Storage Gateway with Amazon ElastiCache

Answer: B

Explanation:
To store and view engineering drawings with caching support, Amazon S3 and Amazon CloudFront are suitable solutions. Amazon S3 can store any amount of data with high durability, availability, and performance. Amazon CloudFront can distribute the engineering drawings to edge locations closer to the users, which can reduce the latency and improve the user experience. Amazon CloudFront can also cache the engineering drawings at the edge locations, which can minimize the amount of time that users wait for the drawings to load.
References:
What Is Amazon S3?
What Is Amazon CloudFront?

NEW QUESTION # 551
A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested dat a. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses.
The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company.
Which solution will meet these requirements?

A. Create Amazon Athena tables for the data. Write Athena SQL queries to transform the data. Share the Athena SQL queries with employees.
B. Configure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes.
C. Configure an AWS Glue Studio visual canvas to transform the data. Share the transformation steps with employees by using AWS Glue jobs.
D. Configure Amazon EMR Serverless to transform the data. Share the transformation steps with employees by using EMR Serveriess jobs.

Answer: B

Explanation:
The most suitable solution for the company's requirements is to configure AWS Glue DataBrew to transform the data and share the transformation steps with employees by using DataBrew recipes. This solution will provide a prebuilt solution for data transformation that does not require code, and will also provide data lineage and data profiling. The company can easily share the data transformation steps with employees throughout the company by using DataBrew recipes.
AWS Glue DataBrew is a visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data for analytics or machine learning by up to 80% faster. Users can upload their data from various sources, such as Amazon S3, Amazon RDS, Amazon Redshift, Amazon Aurora, or Glue Data Catalog, and use a point-and-click interface to apply over 250 built-in transformations. Users can also preview the results of each transformation step and see how it affects the quality and distribution of the data1.
A DataBrew recipe is a reusable set of transformation steps that can be applied to one or more datasets. Users can create recipes from scratch or use existing ones from the DataBrew recipe library. Users can also export, import, or share recipes with other users or groups within their AWS account or organization2.
DataBrew also provides data lineage and data profiling features that help users understand and improve their data quality. Data lineage shows the source and destination of each dataset and how it is transformed by each recipe step. Data profiling shows various statistics and metrics about each dataset, such as column

NEW QUESTION # 552
A solutions architect is designing the architecture of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand Instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make changes to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?

A. Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session
B. Use session affinity (sticky sessions) of the ALB to manage session data.
C. Use Amazon ElastiCache to manage and store session data.
D. Use Session Manager from AWS Systems Manager to manage the session.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/vi/caching/session-management/
In order to address scalability and to provide a shared data storage for sessions that can be accessible from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution to for this is to leverage an In-Memory Key/Value store such as Redis and Memcached. ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.

NEW QUESTION # 553
A company has multiple AWS accounts for development work. Some staff consistently use oversized Amazon EC2 instances, which causes the company to exceed the yearly budget for the development accounts The company wants to centrally restrict the creation of AWS resources in these accounts Which solution will meet these requirements with the LEAST development effort?

A. Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances.
B. Use AWS Organizations to organize the accounts into organizational units (OUs). Define and attach a service control policy (SCP) to control the usage of EC2 instance types.
C. Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types.
D. Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types Ensure that staff can deploy EC2 instances only by using the Service Catalog products.

Answer: B

Explanation:
AWS Organizations is a service that helps users centrally manage and govern multiple AWS accounts. It allows users to create organizational units (OUs) to group accounts based on business needs or other criteria. It also allows users to define and attach service control policies (SCPs) to OUs or accounts to restrict the actions that can be performed by the accounts1. By using AWS Organizations, the solution can centrally restrict the creation of AWS resources in the development accounts.
1. Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances. This solution will not meet the requirement of the least development effort, as it involves developing and maintaining custom templates for EC2 creation, and relying on the staff to use the approved templates instead of enforcing a restriction2.
2. Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types. This solution will not meet the requirement of the least development effort, as it involves writing custom code for Lambda functions, and handling events and errors for EC2 creation3.
3. Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types En-sure that staff can deploy EC2 instances only by using the Service Catalog products. This solution will not meet the requirement of the least development effort, as it involves setting up and managing Service Catalog products for EC2 creation, and ensuring that staff can only use Service Catalog products instead of enforcing a restriction.
Reference URL: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html

NEW QUESTION # 554
A gaming company has a web application that displays scores. The application runs on Amazon EC2 instances behind an Application Load Balancer. The application stores data in an Amazon RDS for MySQL database.
Users are starting to experience long delays and interruptions that are caused by database read performance.
The company wants to improve the user experience while minimizing changes to the application's architecture.
What should a solutions architect do to meet these requirements?

A. Migrate the database from Amazon RDS for MySQL to Amazon DynamoDB.
B. Use Amazon ElastiCache in front of the database.
C. Use RDS Proxy between the application and the database.
D. Migrate the application from EC2 instances to AWS Lambda.

Answer: B

Explanation:
ElastiCache can help speed up the read performance of the database by caching frequently accessed data, reducing latency and allowing the application to access the data more quickly. This solution requires minimal modifications to the current architecture, as ElastiCache can be used in conjunction with the existing Amazon RDS for MySQL database.

NEW QUESTION # 555
......

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