Amazon AWS-Solutions-Associate Practice Test (Web-Based)

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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design High-Performing Architectures	24%	- Compute optimization 1. EC2 instance selection 2. Serverless architectures (Lambda) - Storage and database performance 1. RDS and DynamoDB scaling patterns 2. S3 performance optimization
Design Secure Architectures	30%	- Identity and Access Management (IAM) 1. Least privilege access control 2. Cross-account access 3. IAM users, roles, and policies - Data protection and encryption 1. Encryption in transit and at rest 2. KMS encryption services
Design Resilient Architectures	26%	- Disaster recovery 1. Backup and restore strategies 2. RTO and RPO planning - Highly available architectures 1. Auto Scaling and Load Balancing 2. Multi-AZ deployments
Design Cost-Optimized Architectures	20%	- Cost optimization strategies 1. Right-sizing resources 2. Reserved and Spot Instances - Cost monitoring and governance 1. AWS Cost Explorer 2. Budget alerts and tagging strategies

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The AWS Certified Solutions Architect - Associate (SAA-C03) (AWS-Solutions-Associate) certification examination is an essential component of professional development, and passing this Amazon AWS-Solutions-Associate test can increase career options and a rise in salary. Nonetheless, getting ready for the Prepare for your AWS-Solutions-Associate Exam may be difficult, and many working professionals have trouble locating the AWS-Solutions-Associate practice questions they need to succeed in this endeavor.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q609-Q614):

NEW QUESTION # 609
An ecommerce company is building a distributed application that involves several serverless functions and AWS services to complete order-processing tasks. These tasks require manual approvals as part of the workflow A solutions architect needs to design an architecture for the order-processing application The solution must be able to combine multiple AWS Lambda functions into responsive serverless applications The solution also must orchestrate data and services that run on Amazon EC2 instances, containers, or on-premises servers Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon Simple Queue Service (Amazon SQS) to build the application
B. Integrate all the application components in an AWS Glue job
C. Use AWS Step Functions to build the application.
D. Use AWS Lambda functions and Amazon EventBridge (Amazon CloudWatch Events) events to build the application

Answer: B

NEW QUESTION # 610
The Trusted Advisor service provides insight regarding which four categories of an AWS account?

A. Security, access control, high availability, and performance
B. Security, fault tolerance, high availability, and connectivity
C. Performance, cost optimization, security, and fault tolerance
D. Performance, cost optimization, access control, and connectivity

Answer: C

Explanation:

Explanation:
https://aws.amazon.com/blogs/aws/category/aws-trusted-advisor/

NEW QUESTION # 611
A company sells ringtones created from clips of popular songs. The files containing the ringtones are stored in Amazon S3 Standard and are at least 123 KB m size The company has millions of files but downloads are infrequent for ringtones older than 90 days The company needs to save money on storage while keeping the most accessed files readily available for its users.
Which action should the company take to meet these requirements MOST cost-effectively?

A. Implement an S3 Lifecycle policy that moves the objects from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) after 90 days
B. Configure S3 Standard-infrequent Access (S3 Standard-IA) storage for the initial storage tier of the objects
C. Configure S3 inventory to manage objects and move them to S3 Standard-infrequent Access (S3 Standard-IA) after 90 days
D. Move the files to S3 Intelligent-Tiering and configure it to move objects to a less expensive storage tier after 90 days

Answer: D

NEW QUESTION # 612
A user is testing a new service that receives location updates from 3,600 rental cars every hour.
Which service will collect data and automatically scale to accommodate production workload?

A. Amazon API Gateway
B. Amazon Kinesis Firehose
C. Amazon EC2
D. Amazon EBS

Answer: B

Explanation:
Explanation
What Is Amazon Kinesis Data Firehose?
Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. Kinesis Data Firehose is part of the Kinesis streaming data platform, along with Kinesis Data Streams, Kinesis Video Streams, and Amazon Kinesis Data Analytics. With Kinesis Data Firehose, you don't need to write applications or manage resources. You configure your data producers to send data to Kinesis Data Firehose, and it automatically delivers the data to the destination that you specified. You can also configure Kinesis Data Firehose to transform your data before delivering it

NEW QUESTION # 613
A company has two different types of reporting needs on their 200-GB data warehouse:
1 Data scientists run a small number of concurrent ad hoc SQL queries that can take several minutes each to run.
2 Display screens throughout the company run many fast SQL queries to populate dashboards.
Which design would meet these requirements with the LEAST cost?

A. Configure auto-replication between Amazon Redshift and Amazon RDS. Data scientists use Redshift.
Dashboards use RDS.
B. Use Amazon Redshift for Data Scientists. Run automated dashboard queries against Redshift and store the results in Amazon ElastiCache. Dashboards query ElastiCache.
C. Replicate relevant data between Amazon Redshift and Amazon DynamoDB. Data scientists use Redshift. Dashboards use DynamoDB.
D. Use Amazon Redshift for both requirements, with separate query queues configured in workload management.

Answer: D

Explanation:
Explanation
Redshift makes it simple and cost effective to run high performance queries on petabytes of structured data so that you can build powerful reports and dashboards using your existing business intelligence tools.
https://docs.aws.amazon.com/redshift/latest/dg/c_workload_mngmt_classification.html

NEW QUESTION # 614
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