A customer has a machine learning workflow that consists of multiple quick cycles of reads-writes-reads on Amazon S3. The customer needs to run the workflow on EMR but is concerned that the reads in subsequent cycles will miss new data critical to the machine learning from the prior cycles.

How should the customer accomplish this?

A. Turn on EMRFS consistent view when configuring the EMR cluster.

B. Use AWS Data Pipeline to orchestrate the data processing cycles.

C. Set hadoop.data.consistency = true in the core-site.xml file.

D. Set hadoop.s3.consistency = true in the core-site.xml file.

A company uses Amazon Redshift for its enterprise data warehouse. A new on-premises PostgreSQL OLTP DB must be integrated into the data warehouse. Each table in the PostgreSQL DB has an indexed last_modified timestamp column. The data warehouse has a staging layer to load source data into the data warehouse environment for further processing.

The data lag between the source PostgreSQL DB and the Amazon Redshift staging layer should NOT exceed four hours.

What is the most efficient technique to meet these requirements?

A. Create a DBLINK on the source DB to connect to Amazon Redshift. Use a PostgreSQL trigger on the source table to capture the new insert/update/delete event and execute the event on the Amazon Redshift staging table.

B. Use a PostgreSQL trigger on the source table to capture the new insert/update/delete event and write it to Amazon Kinesis Streams. Use a KCL application to execute the event on the Amazon Redshift staging table.

C. Extract the incremental changes periodically using a SQL query. Upload the changes to multiple Amazon Simple Storage Service (S3) objects, and run the COPY command to load to the Amazon Redshift staging layer.

D. Extract the incremental changes periodically using a SQL query. Upload the changes to a single Amazon Simple Storage Service (S3) object, and run the COPY command to load to the Amazon Redshift staging layer.

You need to design a VPC for a web-application consisting of an Elastic Load Balancer (ELB). A fleet of web/application servers, and an RDS database The Entire Infrastructure must be distributed over 2 availability zones.

Which VPC configuration works while assuring the database is not available from the Internet?

A. One public subnet for ELB one public subnet for the web-servers, and one private subnet for the database

B. One public subnet for ELB two private subnets for the web-servers, two private subnets for RDS

C. Two public subnets for ELB two private subnets for the web-servers and two private subnets for RDS

D. Two public subnets for ELB two public subnets for the web-servers, and two public subnets for RDS

A user has created an ELB with Auto Scaling. Which of the below mentioned offerings from ELB helps the user to stop sending new requests traffic from the load balancer to the EC2 instance when the instance is being deregistered while continuing in-flight requests?

A. ELB sticky session

B. ELB deregistration check

C. ELB connection draining

D. ELB auto registration Off

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:

1.

One load balancer

2.

Five Amazon EC2 instances running the web application

3.

One multi-AZ Amazon RDS instance

How would you implement this? Choose 2 answers

A. 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

B. 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

C. 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

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

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