Free AWS Certified Big Data – Specialty Exam BDS-C00 Exam Practice Test

An administrator needs to design a distribution strategy for a star schema in a Redshift cluster. The administrator needs to determine the optimal distribution style for the tables in the Redshift schema.In which three circumstances would choosing Key-based distribution be most appropriate? (Select three)

• When the administrator needs to optimize a large, slowly changing dimension table
• When the administrator needs to reduce cross-node traffic
• When the administrator needs to optimize the fact table for parity with the number of slices
• When the administrator needs to balance data distribution and collocation of data
• When the administrator needs to take advantage of data locality on a local node of joins and aggregates

An organization is using Amazon Kinesis Data Streams to collect data generated from thousands of temperature devices and is using AWS Lambda to process the data. Devices generate 10 to 12 million records every day, but Lambda is processing only around 450 thousand records. Amazon CloudWatch indicates that throttling on Lambda is not occurring.What should be done to ensure that all data is processed? (Choose two.)

• Increase the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.
• Decrease the BatchSize value on the EventSource, and increase the memory allocated to the Lambda function.
• Create multiple Lambda functions that will consume the same Amazon Kinesis stream.
• Increase the number of vCores allocated for the Lambda function.
• Increase the number of shards on the Amazon Kinesis stream.

A user has launched an EC2 instance and deployed a production application in it. The user wants to prohibit any mistakes from the production team to avoid accidental termination. How can the user achieve this?

• The user can the set DisableApiTermination attribute to avoid accidental termination
• It is not possible to avoid accidental termination
• The user can set the Deletion termination flag to avoid accidental termination
• The user can set the InstanceInitiatedShutdownBehavior flag to avoid accidental termination

Within the IAM service a GROUP is regarded as a:

• A collection of AWS accounts
• It's the group of EC2 machines that gain the permissions specified in the GROUP.
• There's no GROUP in IAM, but only USERS and RESOURCES.
• A collection of users.

Select the correct set of steps for exposing the snapshot only to specific AWS accounts

• Select public for all the accounts and check mark those accounts with whom you want to expose the snapshots and click save.
• SelectPrivate, enter the IDs of those AWS accounts, and clickSave.
• SelectPublic, enter the IDs of those AWS accounts, and clickSave.
• SelectPublic, mark the IDs of those AWS accounts as private, and clickSave.

After an Amazon VPC instance is launched, can I change the VPC security groups it belongs to?

• No. You cannot.
• Yes. You can.
• Only if you are the root user
• Only if the tag 'VPC_Change_Group' is true

Amazon EC2 provides a repository of public data sets that can be seamlessly integrated into AWS cloud-based applications.What is the monthly charge for using the public data sets?

• A 1 time charge of 10$ for all the datasets.
• 1$ per dataset per month
• 10$ per month for all the datasets
• There is no charge for using the public data sets

Are you able to integrate a multi-factor token service with the AWS Platform?

• Yes, you can integrate private multi-factor token devices to authenticate users to the AWS platform.
• No, you cannot integrate multi-factor token devices with the AWS platform.
• Yes, using the AWS multi-factor token devices to authenticate users on the AWS platform.

A web-hosting company is building a web analytics tools to capture clickstream data from all of the websites hosted within its platform and to provide near-real-time business intelligence. This entire system is built on AWS services. The web-hosting company is interested in using Amazon kinesis to collect this data and perform sliding window analytics. What is the most reliable and fault-tolerant technique to get each website to send data to Amazon Kinesis with every click?

• After receiving a request each web server sends it to Amazon kinesis using the Amazon kinesis PutRecord APL Use the SessionID as a parturition key and set up a loop to retry until a success response is received
• After receiving a request each web server sends it to Amazon kinesis using the Amazon Kinesis Producer Library addRecord method
• Each web server bluffers the request until the count reaches 500 and sends them to Amazon kinesis using the Amazon kinesis PutRecord API call
• After receiving a request each web server sends it to Amazon Kinesis using the Amazon kinesis PutRecord API. Use the exponential back off algorithm for retries until a successful response is received

A city has been collecting data on its public bicycle share program for the past three years. The SPB dataset currently on Amazon S3. The data contains the following data points:* Bicycle organization points* Bicycle destination points* Mileage between the points* Number of bicycle slots available at the station (which is variable based on the station location)* Number of slots available and taken at each station at a given timeThe program has received additional funds to increase the number of bicycle stations, available. All data is regularly archived to Amazon Glacier.The new bicycle station must be located to provide the most riders access to bicycles. How should this task be performed?

• Move the data from Amazon S3 into Amazon EBS-backed volumes and EC2 Hardoop with spot instances to run a Spark job that performs a stochastic gradient descent optimization.
• Use the Amazon Redshift COPY command to move the data from Amazon S3 into RedShift and platform a SQL query that outputs the most popular bicycle stations.
• Persist the data on Amazon S3 and use a transits EMR cluster with spot instances to run a Spark streaming job that will move the data into Amazon Kinesis.
• Keep the data on Amazon S3 and use an Amazon EMR based Hadoop cluster with spot insistences to run a spark job that perform a stochastic gradient descent optimization over EMBFS.