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

A large oil and gas company needs to provide near real-time alerts when peak thresholds are exceeded in its pipeline system. The company has developed a system to capture pipeline metrics such as flow rate, pressure and temperature using millions of sensors. The sensors deliver to AWS IoT.
What is a cost-effective way to provide near real-time alerts on the pipeline metrics?

1. A. Create an AWS IoT rule to generate an Amazon SNS notification
2. B. Store the data points in an Amazon DynamoDB table and polite peak metrics data from an Amazon EC2 application
3. C. Create an Amazon Machine Learning model and invoke with AWS Lambda
4. D. Use Amazon Kinesis Streams and a KCL-based application deployed on AWS Elastic Beanstalk

Correct Answer: BD

The Trusted Advisor service provides insight regarding which four categories of an AWS account?

1. A. Security, fault tolerance, high availability, and connectivity
2. B. Security, access control, high availability, and performance
3. C. Performance, cost optimization, security, and fault tolerance
4. D. Performance, cost optimization, access control, and connectivity

Correct Answer: C

An organization is designing an application architecture. The application will have over 100 TB of data
and will support transactions that arrive at rates from hundreds per second to tens of thousands per second, depending on the day of the week and time of day. All transaction data must be durably and reliably stored. Certain read operations must be performed with strong consistency.
Which solutions meets these requirements?

1. A. Use Amazon DynamoDB as the data store and use strong consistent reads when necessary
2. B. Use an Amazon Relational Database Service (RDS) instance sized to meet the maximum transaction rate and with the High Availability option enabled.
3. C. Deploy a NoSQL data store on top of an Amazon Elastic MapReduce (EMR) cluster, and select the HDFS High Durability option.
4. D. Use Amazon Redshift with synchronous replication to Amazon Simple Storage Service (S3) and row- level locking for strong consistency.

Correct Answer: A

A data engineer in a manufacturing company is designing a data processing platform that receives a
large volume of unstructured data. The data engineer must populate a well- structured star schema in Amazon Redshift.
What is the most efficient architecture strategy for this purpose?

1. A. Transform the unstructured data using Amazon EMR and generate CSV dat
2. B. COPY data into the analysis schema within Redshift.
3. C. Load the unstructured data into Redshift, and use string paring functions to extract structured data for inserting into the analysis schema.
4. D. When the data is saved to Amazon S3. Use S3 Event Notifications and AWS Lambda to transform the file conten
5. E. Insert the data into the analysis schema on Redshift.
6. F. Normalize the data using an AWS Marketplace ETL tool persist the result to Amazon S3 and use AWS Lambda to INSERT the data into Redshift.

Correct Answer: B

A user has provisioned 2000 IOPS to the EBS volume. The application hosted on that EBS is experiencing less IOPS than provisioned. Which of the below mentioned options does not affect the IOPS of the volume?

1. A. The application does not have enough IO for the volume
2. B. The instance is EBS optimized
3. C. The EC2 instance has 10 Gigabit Network connectivity
4. D. The volume size is too large

Correct Answer: D