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AWS-Solutions-Architect-Associate Boot Camp - Amazon New AWS Certified Solutions Architect Associate (SAA C02) Test Sample Questions - Royalholidayclubbed
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AWS-Solutions-Architect-Associate PDF DEMO:
QUESTION NO: 1
A company wants to durably store data in 8 KB chunks. The company will access the data once every few months. However, when the company does access the data, it must be done with as little latency as possible.
Which AWS service should a Solutions Architect recommend if cost is NOT a factor?
A. Amazon ElastiCache
B. Amazon DynamoDB
C. Amazon EBS Cold HDD Volumes
D. Amazon EBS Throughput Optimized HDD Volumes
Answer: B
QUESTION NO: 2
A Solutions Architect has been given the following requirements for a company's VPC:
1 The solution is a two-tiered application with a web tier and a database tier.
2 All web traffic to the environment must be directed from the Internet to an Application Load
Balancer.
3 The web servers and the databases should not obtain public IP addresses or be directly accessible from the public Internet.
4 Because of security requirements, databases may not share a route table or subnet with any other service.
QUESTION NO: 3
The environment must be highly available within the same VPC for all services.
What is the minimum number of subnets that the Solutions Architect will need based on these requirements and best practices?
A. 6
B. 3
C. 4
D. 2
Answer: A
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/public-load-balancer-private-ec2/
5. An application stores data in an Amazon RDS MySQL DB instance. The database traffic primarily consists of read queries, which are overwhelming the current database. A Solutions
Architect wants to scale the database.
What combination of steps will achieve the goal? (Choose two.)
A. Add the MySQL database instances to an Auto Scaling group
B. Migrate the MySQL database to Amazon Aurora
C. Create an ELB Application Load Balancer
D. Create read replicas in different Availability Zones
E. Migrate the MySQL database to a PostgreSQL database
Answer: B,D
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Performance.
html
QUESTION NO: 4
A Solutions Architect is designing an application that will encrypt all data in an Amazon
Redshift cluster. Which action will encrypt the data at rest?
A. Place the Redshift cluster in a private subnet.
B. Encrypt the Amazon EBS volumes.
C. Use the AWS KMS Default Customer master key.
D. Encrypt the data using SSL/TLS.
Answer: C
Explanation
https://docs.aws.amazon.com/en_pv/redshift/latest/mgmt/security-server-side-encryption.html
QUESTION NO: 5
A manufacturing company captures data from machines running at customer sites. Currently, thousands of machines send data every 5 minutes, and this is expected to grow to hundreds of thousands of machines in the near future. The data is logged with the intent to be analyzed in the future as needed.
What is the SIMPLEST method to store this streaming data at scale?
A. Create an Amazon SQS queue, and have the machines write to the queue.
B. Create an Amazon EC2 server farm behind an ELB to store the data in Amazon EBS Cold FIDD volumes.
C. Create an Amazon Kinesis Firehouse delivery stream to store the data in Amazon S3.
D. Create an Auto Scaling group of Amazon EC2 servers behind ELBs to write the data into Amazon
RDS.
Answer: C
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
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Updated: May 28, 2022
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