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Question 1

Which data store should the organization choose?

AAmazon Relational Database Service (RDS)

BAmazon Redshift

CAmazon DynamoDB

DAmazon Elasticsearch

Question 2

A company has reproducible data that they want to store on Amazon Web Services. The company may want to retrieve the data on a frequent basis. Which Amazon web services storage option allows the customer to optimize storage costs and still achieve high availability for their data?

AAmazon S3 Reduced Redundancy Storage

BAmazon EBS Magnetic Volume

CAmazon Glacier

DAmazon S3 Standard Storage

Question 3

An organization uses a custom map reduce application to build monthly reports based on many small data files in an Amazon S3 bucket. The data is submitted from various business units on a frequent but unpredictable schedule. As the dataset continues to grow, it becomes increasingly difficult to process all of the data in one day. The organization has scaled up its Amazon EMR cluster, but other optimizations could improve performance.

The organization needs to improve performance minimal changes to existing processes and applications.

What action should the organization take?

AUse Amazon S3 Event Notifications and AWS Lambda to create a quick search file index in DynamoDB.

BAdd Spark to the Amazon EMR cluster and utilize Resilient Distributed Datasets in-memory.

CUse Amazon S3 Event Notifications and AWS Lambda to index each file into an Amazon Elasticsearch Service cluster.

DSchedule a daily AWS Data Pipeline process that aggregates content into larger files using
S3DistCp.

EHave business units submit data via Amazon Kinesis Firehose to aggregate data hourly into Amazon S3.

Question 4

An administrator is processing events in near real-time using Kinesis streams and Lambd

a. Lambda intermittently fails to process batches from one of the shards due to a 5 --minute time limit. What is a possible solution for this problem?

AAdd more Lambda functions to improve concurrent batch processing

BReduce the batch size that lambda is reading from the stream

CIgnore and skip events that are older than 5 minutes and put them to Dead Letter Queue (DLQ)

DConfigure Lambda to read from fewer shards in parallel

Question 5

An organization is designing a public web application and has a requirement that states all application users must be centrally authenticated before any operations are permitted. The organization will need to create a user table with fast data lookup for the application in which a user can read only his or her own data. All users already have an account with amazon.com.

How can these requirements be met?

ACreate an Amazon RDS Aurora table, with Amazon_ID as the primary key. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role from AWS STS. Use IAM database authentication by using the rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

BCreate an Amazon RDS Aurora table, with Amazon_ID as the primary key for each user. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role. Use IAM database authentication by using rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

CCreate an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role from AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

DCreate an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to assume an IAM role from AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

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