Amazon Web Services DAS-C01 Based on Real Exam Environment

AWS Certified Data Analytics - Specialty Questions and Answers

Question 45

A software company hosts an application on AWS, and new features are released weekly. As part of the application testing process, a solution must be developed that analyzes logs from each Amazon EC2 instance to ensure that the application is working as expected after each deployment. The collection and analysis solution should be highly available with the ability to display new information with minimal delays.

Which method should the company use to collect and analyze the logs?

Options:

Enable detailed monitoring on Amazon EC2, use Amazon CloudWatch agent to store logs in Amazon S3, and use Amazon Athena for fast, interactive log analytics.

Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and visualize using Amazon QuickSight.

Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Firehose to further push the data to Amazon Elasticsearch Service and Kibana.

Use Amazon CloudWatch subscriptions to get access to a real-time feed of logs and have the logs delivered to Amazon Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and Kibana.

Question 46

A company recently created a test AWS account to use for a development environment The company also created a production AWS account in another AWS Region As part of its security testing the company wants to send log data from Amazon CloudWatch Logs in its production account to an Amazon Kinesis data stream in its test account

Which solution will allow the company to accomplish this goal?

Options:

Create a subscription filter in the production accounts CloudWatch Logs to target the Kinesis data stream in the test account as its destination In the test account create an 1AM role that grants access to the Kinesis data stream and the CloudWatch Logs resources in the production account

In the test account create an 1AM role that grants access to the Kinesis data stream and the CloudWatch Logs resources in the production account Create a destination data stream in Kinesis Data Streams in the test account with an 1AM role and a trust policy that allow CloudWatch Logs in the production account to write to the test account

In the test account, create an 1AM role that grants access to the Kinesis data stream and the CloudWatch Logs resources in the production account Create a destination data stream in Kinesis Data Streams in the test account with an 1AM role and a trust policy that allow CloudWatch Logs in the production account to write to the test account

Create a destination data stream in Kinesis Data Streams in the test account with an 1AM role and a trust policy that allow CloudWatch Logs in the production account to write to the test account Create a subscription filter in the production accounts CloudWatch Logs to target the Kinesis data stream in the test account as its destination

Question 47

A human resources company maintains a 10-node Amazon Redshift cluster to run analytics queries on the company’s data. The Amazon Redshift cluster contains a product table and a transactions table, and both tables have a product_sku column. The tables are over 100 GB in size. The majority of queries run on both tables.

Which distribution style should the company use for the two tables to achieve optimal query performance?

Options:

An EVEN distribution style for both tables

A KEY distribution style for both tables

An ALL distribution style for the product table and an EVEN distribution style for the transactions table

An EVEN distribution style for the product table and an KEY distribution style for the transactions table

Question 48

A company's data science team is designing a shared dataset repository on a Windows server. The data repository will store a large amount of training data that the data

science team commonly uses in its machine learning models. The data scientists create a random number of new datasets each day.

The company needs a solution that provides persistent, scalable file storage and high levels of throughput and IOPS. The solution also must be highly available and must

integrate with Active Directory for access control.

Which solution will meet these requirements with the LEAST development effort?

Options:

Store datasets as files in an Amazon EMR cluster. Set the Active Directory domain for authentication.

Store datasets as files in Amazon FSx for Windows File Server. Set the Active Directory domain for authentication.

Store datasets as tables in a multi-node Amazon Redshift cluster. Set the Active Directory domain for authentication.

Store datasets as global tables in Amazon DynamoDB. Build an application to integrate authentication with the Active Directory domain.

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Amazon Web Services DAS-C01 Based on Real Exam Environment

AWS Certified Data Analytics - Specialty Questions and Answers

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