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AWS-Solutions-Associate PDF DEMO:
QUESTION NO: 1
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
QUESTION NO: 2
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: 3
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: 4
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: 5
A company's Data Analysis team needs to perform real-time complex queries against a database. As the team grows, the complex queries are slowing down production transactions. The current environment has an Amazon RDS database with the largest instance type and is still experiencing performance issues.
Which solution will reduce costs and resolve the performance issues?
A. Implement an Amazon RDS Read Replica of the production database to be used by the Data
Analysis team and reduce the RDS database instance size.
B. Implement Amazon EC2 instances to run a cluster of the production database and remove the RDS database instance.
C. Implement Amazon ElastiCache and run the query against ElastiCache directly.
D. Implement a larger Amazon RDS database instance type and apply Reserved Instances by submitting a limit increase request.
Answer: A
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Updated: May 28, 2022