BDS-C00 Free Practice Test

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?

1. A. Use Amazon S3 Event Notifications and AWS Lambda to create a quick search file index in DynamoDB.
2. B. Add Spark to the Amazon EMR cluster and utilize Resilient Distributed Datasets in-memory.
3. C. Use Amazon S3 Event Notifications and AWS Lambda to index each file into an Amazon Elasticsearch Service cluster.
4. D. Schedule a daily AWS Data Pipeline process that aggregates content into larger files using S3DistCp.
5. E. Have business units submit data via Amazon Kinesis Firehose to aggregate data hourly into Amazon S3.

Correct Answer: A

A company receives data sets coming from external providers on Amazon S3. Data sets from different providers are dependent on one another. Data sets will drive at different and is no particular order.
A data architect needs to design a solution that enables the company to do the following:
• Rapidly perform cross data set analysis as soon as the data becomes available
• Manage dependencies between data sets that arrives at different times
Which architecture strategy offers a scalable and cost-effective solution that meets these requirements?

1. A. Maintain data dependency information in Amazon RDS for MySQ
2. B. Use an AWS Pipeline job to load an Amazon EMR Hive Table based on task dependencies and event notification triggers in Amazon S3
3. C. Maintain data dependency information in an Amazon DynamoDB tabl
4. D. Use Amazon SNS and event notification to publish data to a fleet of Amazon EC2 worker
5. E. Once the task dependencies have been resolved process the data with Amazon EMR
6. F. Maintain data dependency information in an Amazon ElasticCache Redis cluste
7. G. Use Amazon S3 event notifications to trigger an AWS Lambda function that maps the S3 object to Redi
8. H. Once the dependencies have been resolved process the data with Amazon EMR
9. I. Maintain data dependency information in an Amazon DynamoDB tabl
10. J. Use Amazon S3 event notifications to trigger an AWS Lambda function that maps the S3 object to the task associated with it in DynamoD
11. K. Once all task dependencies have been resolved process the data with Amazon EMR

Correct Answer: D

Which data store should the organization choose?

1. A. Amazon Relational Database Service (RDS)
2. B. Amazon Redshift
3. C. Amazon DynamoDB
4. D. Amazon Elasticsearch

Correct Answer: C

When will you incur costs with an Elastic IP address (EIP)?

1. A. When an EIP is allocated
2. B. When it is allocated and associated with a running instance
3. C. When it is allocated and associated with a stopped instance
4. D. Costs are incurred regardless of whether the EIP associated with a running instance

Correct Answer: C

You are designing a web application that stores static assets in an Amazon Simple Storage
Service (S3) bucket. You expect this bucket to immediately receive over 150 PUT requests per second. What should you do to ensure optimal performance?

1. A. Use multi-part upload.
2. B. Add a random prefix to the key names.
3. C. Amazon S3 will automatically manage performance at this scale.
4. D. Use a predictable naming scheme, such as sequential numbers or date time sequences, in the key names

Correct Answer: B