Amazon BDS-C00 Exam Practice Test Instant Access

Question 1

A company is centralizing a large number of unencrypted small files rom multiple Amazon S3 buckets. The company needs to verify that the files contain the same data after centralization.

Which method meets the requirements?

ACompany the S3 Etags from the source and destination objects

BCall the S3 CompareObjects API for the source and destination objects

CPlace a HEAD request against the source and destination objects comparing SIG v4 header

DCompare the size of the source and destination objects

Answer : A

https://docs.aws.amazon.com/AmazonS3/latest/API/RESTCommonResponseHeaders.html

Question 2

An administrator tries to use the Amazon Machine Learning service to classify social media posts that mention the administrator's company into posts that requires a response and posts that do not. The training dataset of 10,000 posts contains the details of each post including the timestamp, author, and full text of the post. The administrator is missing the target labels that are required for training.

Which Amazon Machine Learning model is the most appropriate for the task?

AUnary classification model, where the target class is the require-response post

BBinary classification model, where the two classes are require-response and does-not-require- response

CMulti-class prediction model, with two classes require-response and does-not-require response

DRegression model where the predicted value is the probability that the post requires a response

Answer : D

Question 3

It is advised that you watch the Amazon CloudWatch "_____" metric (available via the AWS Management Console or Amazon Cloud Watch APIs) carefully and recreate the Read Replica should it fall behind due to replication errors.

AWrite Lag

BRead Replica

CReplica Lag

DSingle Replica

Answer : C

Question 4

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?

AUse Amazon DynamoDB as the data store and use strong consistent reads when necessary

BUse an Amazon Relational Database Service (RDS) instance sized to meet the maximum transaction rate and with the High Availability option enabled.

CDeploy a NoSQL data store on top of an Amazon Elastic MapReduce (EMR) cluster, and select the
HDFS High Durability option.

DUse Amazon Redshift with synchronous replication to Amazon Simple Storage Service (S3) and row- level locking for strong consistency.

Answer : A

Question 5

A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected, the system must send a notification to open valve. An Amazon Kinesis stream collects the data from the sensors and an anomaly Kinesis stream triggers an AWS Lambda function to open the appropriate valve.

Which solution is the MOST cost-effective for responding to anomalies in real time?

AAttach a Kinesis Firehose to the stream and persist the sensor data in an Amazon S3 bucket. Schedule an AWS Lambda function to run a query in Amazon Athena against the data in Amazon S3 to identify anomalies. When a change is detected, the Lambda function sends a message to the anomaly stream to open the valve.

BLaunch an Amazon EMR cluster that uses Spark Streaming to connect to the Kinesis stream and Spark machine learning to detect anomalies. When a change is detected, the Spark application sends a message to the anomaly stream to open the valve.

CLaunch a fleet of Amazon EC2 instances with a Kinesis Client Library application that consumes the stream and aggregates sensor data over time to identify anomalies. When an anomaly is detected, the application sends a message to the anomaly stream to open the valve.

DCreate a Kinesis Analytics application by using the RANDOM_CUT_FOREST function to detect an anomaly. When the anomaly score that is returned from the function is outside of an acceptable range, a message is sent to the anomaly stream to open the valve.

Answer : D

https://www.aws.training/Details/Curriculum?id=21332

Question 6

A company is building a new application is AWS. The architect needs to design a system to collect application log events. The design should be a repeatable pattern that minimizes data loss if an application instance fails, and keeps a durable copy of all log data for at least 30 days.

What is the simplest architecture that will allow the architect to analyze the logs?

AWrite them directly to a Kinesis Firehose. Configure Kinesis Firehose to load the events into an
Amazon Redshift cluster for analysis.

BWrite them to a file on Amazon Simple Storage Service (S3). Write an AWS lambda function that runs in response to the S3 events to load the events into Amazon Elasticsearch service for analysis.

CWrite them to the local disk and configure the Amazon cloud watch Logs agent to lead the data into CloudWatch Logs and subsequently into Amazon Elasticsearch Service.

DWrite them to CloudWatch Logs and use an AWS Lambda function to load them into HDFS on an Amazon Elastic MapReduce (EMR) cluster for analysis.

Answer : B

Question 7

REST or Query requests are HTTP or HTTPS requests that use an HTTP verb (such as GET or POST) and a parameter named Action or Operation that specifies the API you are calling.

AFALSE

BTRUE

Answer : A

Amazon AWS Certified Big Data - Specialty BDS-C00 Exam Practice Test