AWS-Certified-Big-Data-Specialty Free Practice Test

An enterprise customer is migrating to Redshift and is considering using dense storage nodes in its
Redshift cluster. The customer wants to migrate 50 TB of data. The customer’s query patterns involve performing many joins with thousands of rows. The customer needs to know how many nodes are needed in its target Redshift cluster. The customer has a limited budget and needs to avoid performing tests unless absolutely needed. Which approach should this customer use?

1. A. Start with many small nodes
2. B. Start with fewer large nodes
3. C. Have two separate clusters with a mix of small and large nodes
4. D. Insist on performing multiple tests to determine the optimal configuration

Correct Answer: D

You have a large number of web servers in an Auto Scaling group behind a load balancer. On an hourly basis, you want to filter and process the logs to collect data on unique visitors, and then put that data in a durable data store in order to run reports. Web servers in the Auto Scaling group are constantly launching and terminating based on your scaling policies, but you do not want to lose any of the log data from these servers during a stop/termination initiated by a user or by Auto Scaling. What two approaches will meet these requirements? Choose 2 answers

1. A. Install an Amazon CloudWatch Logs Agent on every web server during the bootstrap proces
2. B. Create a CloudWatch log group and define metric Filters to create custom metrics that track unique visitors from the streaming web server log
3. C. Create a scheduled task on an Amazon EC2 instance that runs every hour to generate a new report based on the CloudWatch custom metrics
4. D. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to Amazon Glacie
5. E. Ensure that the operating system shutdown procedure triggers a logs transmission when the Amazon EC2 instance is stopped/terminate
6. F. Use Amazon Data pipeline to process data in Amazon Glacier and run reports every hour
7. G. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to an Amazon S3 bucke
8. H. Ensure that the operating system shutdown process triggers a logs transmission when the Amazon EC2 instance is stopped/terminate
9. I. Use AWS Data Pipeline to move log data from the Amazon S3 bucket to Amazon Redshift in order to process and run reports every hour
10. J. Install an AWS Data Pipeline Logs Agent on every web server during the bootstrap proces
11. K. Create a log group object in AWS Data Pipeline, and define Metric filters to move processed log data directly from the web servers to Amazon Redshift and runs reports every hour

Correct Answer: AC

A company is centralizing a large number of unencrypted small files rom multiple Amazon S3 buckets. The company needs to verify that the files contain the same data after centralization.
Which method meets the requirements?

1. A. Company the S3 Etags from the source and destination objects
2. B. Call the S3 CompareObjects API for the source and destination objects
3. C. Place a HEAD request against the source and destination objects comparing SIG v4 header
4. D. Compare the size of the source and destination objects

Correct Answer: B

Your social media marketing application has a component written in Ruby running on AWS Elastic
BeanStalk. This application component posts messages to social media sites in support of various marketing campaigns. Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future
efforts. You have already developed a new application component to interface with the social media site APIs in order to read the replies.
Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analysis of historical data?

1. A. Deploy the new application component in an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) instances, read the data from the social media sites, store it with Amazon Elastic Block Store, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics
2. B. Deploy the new application component as a Elastic BeanStalk application, read the data from the social media sites, store it in Amazon DynamoDB, and use Apache Hive with Amazon Elastic MapReduce for analytic
3. C. Deploy the new application component in an Auto Scaling group of Amazon EC2 instances, read the data from the social media sites, store it in Amazon Glacier, and use AWS Data Pipeline to publish it to Amazon Redshift for analytics
4. D. Deploy the new application component as an Amazon Elastic Beanstalk application, read thedata from the social media site, store it with Amazon Elastic Block Store, and use Amazon Kinesis to stream the data to Amazon CloudWatch for analytics

Correct Answer: B

You are managing the AWS account of a big organization. The organization has more than
1000+ employees and they want to provide access to the various services to most of the employees. Which of the below mentioned options is the best possible solution in this case?

1. A. The user should create a separate IAM user for each employee and provide access to them as per the policy
2. B. The user should create an IAM role and attach STS with the rol
3. C. The user should attach that role to the EC2 instance and setup AWS authentication on that server
4. D. The user should create IAM groups as per the organization’s departments and add each user to the group for better access control
5. E. Attach an IAM role with the organization’s authentication service to authorize each user forvarious AWS services

Correct Answer: D