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

Question 1

Which DNS name can only be resolved within Amazon EC2?

A. Private DNS name

B. Internal DNS name

C. Global DNS name

D. External DNS name

Correct Answer: B

Question 2

What does Amazon RDS stand for?

A. Regional Data Server.

B. Relational Database Service

C. Regional Database Service.

Correct Answer: B

Question 3

What is an isolated database environment running in the cloud (Amazon RDS) called?

A. DB Instance

B. DB Server

C. DB Volume

D. DB Unit

Correct Answer: A

Question 4

A company is preparing to give AWS Management Console access to developers. Company policy mandates identity federation and role based access control. Roles are currently assigned using groups in the corporate Active Directory. What combination of the following will give developers access to the AWS console?
Choose 2 answers

A. AWS identity and Access Management groups

B. AWS identity and Access Management users

C. AWS identity and Access Management roles

D. AWS Directory Service Simple AD

E. AWS Directory Service AD connector

Correct Answer: C,E

Question 5

A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected, the system must send a notification to open valve. An Amazon Kinesis stream collects the data from the sensors and an anomaly Kinesis stream triggers an AWS Lambda function to open the appropriate valve.
Which solution is the MOST cost-effective for responding to anomalies in real time?

A. Launch a fleet of Amazon EC2 instances with a Kinesis Client Library application that consumes the stream and aggregates sensor data over time to identify anomalies. When an anomaly is detected, the application sends a message to the anomaly stream to open the valve.

B. Launch an Amazon EMR cluster that uses Spark Streaming to connect to the Kinesis stream and Spark machine learning to detect anomalies. When a change is detected, the Spark application sends a message to the anomaly stream to open the valve.

C. Attach a Kinesis Firehose to the stream and persist the sensor data in an Amazon S3 bucket. Schedule an AWS Lambda function to run a query in Amazon Athena against the data in Amazon S3 to identify anomalies. When a change is detected, the Lambda function sends a message to the anomaly stream to open the valve.

D. Create a Kinesis Analytics application by using the RANDOM_CUT_FOREST function to detect an anomaly. When the anomaly score that is returned from the function is outside of an acceptable range, a message is sent to the anomaly stream to open the valve.

Correct Answer: D

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Question 6

How many relational database engines does RDS currently support?

A. Five: MySQL, PostgreSQL, MongoDB, Cassandra and SQLite.

B. Just one: MySQL.

C. MySQL, Postgres, MariaDB, Oracle and Microsoft SQL Server

D. Just two: MySQL and Oracle.

Correct Answer: C

Question 7

A user plans to use RDS as a managed DB platform. Which of the below mentioned features is not supported by RDS?

A. Automated scaling to manage a higher load

B. Automated failure detection and recovery

C. Automated software patching

D. Automated backup

Correct Answer: A

Question 8

An organization has added a clickstream to their website to analyze traffic. The website is sending each page request with the PutRecord API call to an Amazon Kinesis stream by using the page name as the partition key.
During peak spikes in website traffic, a support engineer notices many
ProvisionedThroughputExcededException events in the application logs.
What should be done to resolve the issue in the MOST cost-effective way?

A. Create multiple Amazon Kinesis streams for page requests to increase the concurrency of the clickstream.

B. Attach more consumers to the Kinesis stream to process records in parallel, improving the performance on the stream.

C. Increase the number of shards on the Kinesis stream to allow for more throughput to meet the peak spikes in traffic.

D. Modify the application to use on the Kinesis Producer Library to aggregate requests before sending them to the Kinesis stream.

Correct Answer: C

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Question 9

Can I attach more than one policy to a particular entity?

A. Only if within GovCloud

B. No

C. Only if within VPC

D. Yes always

Correct Answer: D

Question 10

You have been asked to use your department's existing continuous integration (CI) tool to test a three- tier web architecture defined in an AWS CloudFormation template. The tool already supports AWS APIs and can launch new AWS CloudFormation stacks after polling version control. The CI tool reports on the success of the AWS CloudFormation stack creation by using the DescribeStacks API to look for the CREATE_COMPLETE status.
The architecture tiers defined in the template consist of:
. One load balancer
. Five Amazon EC2 instances running the web application
. One multi-AZ Amazon RDS instance How would you implement this? Choose 2 answers

A. Define a CustomResource that leverages the AWS SDK to run the DescribeStacks API call until the CREATE_COMPLETE status is returned

B. Define a WaitCondition and a WaitConditionhandle for the output of a output of a UserData command that does sanity checking of the application's post-install state

C. Define a UserDataHandle for the output of a CustomResource that does sanity checking of the application's post-install state

D. Define a CustomResource and write a script that runs architecture-level integration tests through the load balancer to the application and database for the state of multiple tiers

E. Define a UserDataHandle for the output of a UserData command that does sanity checking of the application's post-install state and runs integration tests on the state of multiple tiers through load balancer to the application

F. Define a WaitCondition and use a WaitConditionHandle that leverages the AWS SDK to run the DescribeStacks API call until the CREATE_COMPLETE status is returned

Correct Answer: B,C

Question 11

A solutions architect works for a company that has a data lake based on a central Amazon S3 bucket. The data contains sensitive information. The architect must be able to specify exactly which files each user can access.
Users access the platform through SAML federation Single Sign On platform.
The architect needs to build a solution that allows fine grained access control, traceability of access to the objects, and usage of the standard tools (AWS Console, AWS CLI) to access the data.
Which solution should the architect build?

A. Use Amazon S3 Server-Side Encryption with Amazon S3 Managed Keys. Set Amazon S3 ACI to allow access to specific elements of the platform. Use Amazon S3 to access logs for auditing

B. Use Amazon S3 Client-Side Encryption with Client-Side Master Key. Set Amazon S3 ACI to allow access to specific elements of the platform. Use Amazon S3 access logs for auditing

C. Use Amazon S3 Client-Side Encryption with AWS KMS-Managed keys for storing data.
Use AMS KWS to allow access to specific elements of the platform. Use AWS CloudTrail for auditing

D. Use Amazon S3 Server-Side Encryption with AWS KMS-Managed Keys for strong data.
Use AWS KMS to allow access to specific elements of the platform. Use AWS CloudTrail for auditing

Correct Answer: C

Question 12

The Marketing Director in your company asked you to create a mobile app that lets users post sightings of good deeds known as random acts of kindness in 80-character summaries. You decided to write the application in JavaScript so that it would run on the broadest range of phones, browsers, and tablets. Your application should provide access to Amazon DynamoDB to store the good deed summaries. Initial testing of a prototype shows that there aren't large spikes in usage. Which option provides the most cost-effective and scalable architecture for this application?

A. Provide the JavaScript client with temporary credentials from the Security Token Service using a Token Vending Machine

B. Register the application with a Web Identity Provider like Amazon, Google, or Facebook, create an IAM role for that provider, and set up permissions for the IAM role to allow S3 gets and DynamoDB puts. You serve your mobile application out of an S3 bucket enabled as a web site. Your client updates DynamoDB.

C. Register the JavaScript application with a Web Identity Provider like Amazon, Google, or Facebook, create an IAM role for that provider, and set up permissions for the IAM role to allow DynamoDB puts.
You serve your mobile application out of Apache EC2 instances that are load-balanced and autoscaled.
Your EC2 instances are configured with an IAM role that allows DynamoDB puts. Your server updates DynamoDB.

D. Provide the JavaScript client with temporary credentials from the Security Token Service using a Token Vending Machine (TVM) to provide signed credentials mapped to an IAM user allowing DynamoDB puts. You serve your mobile application out of Apache EC2 instances that are load-balanced and autoscaled. Your EC2 instances are configured with an IAM role that allows DynamoDB puts. Your server updates DynamoDB.

Correct Answer: B

Question 13

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

A. Install an Amazon CloudWatch Logs Agent on every web server during the bootstrap process.
Create a CloudWatch log group and define metric Filters to create custom metrics that track unique visitors from the streaming web server logs. Create a scheduled task on an Amazon EC2 instance that runs every hour to generate a new report based on the CloudWatch custom metrics

B. Install an AWS Data Pipeline Logs Agent on every web server during the bootstrap process. 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

C. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to Amazon Glacier. Ensure that the operating system shutdown procedure triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. Use Amazon Data pipeline to process data in Amazon Glacier and run reports every hour

D. On the web servers, create a scheduled task that executes a script to rotate and transmit the logs to an Amazon S3 bucket. Ensure that the operating system shutdown process triggers a logs transmission when the Amazon EC2 instance is stopped/terminated. 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

Correct Answer: A,D

Question 14

An organization uses Amazon Elastic MapReduce (EMR) to process a series of extract-transform-load (ETL) steps that run in sequence. The output of each step must be fully processed in subsequent steps but will not be retained.
Which of the following techniques will meet this requirement most efficiently?

A. Define the ETL steps as separate AWS Data Pipeline activities.

B. Load the data to be processed into HDFS and then write the final output to Amazon S3.

C. Use the s3n URI to story the data to be processes as objects in Amazon S3.

D. Use the EMR File System (EMRFS) to store the outputs from each step as objects in Amazon Simple Storage Service (S3).

Correct Answer: B

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Amazon AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty) Free Practice Test