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QUESTION NO: 1
An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores. The data stores are composed of Amazon
RDS databases, Amazon Redshift, and CSV files residing on Amazon S3. The catalog should be populated on a scheduled basis, and minimal administration is required to manage the catalog.
How can this be accomplished?
A. Use AWS Glue Data Catalog as the data catalog and schedule crawlers that connect to data sources to populate the database.
B. Set up Amazon DynamoDB as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
C. Use an Amazon database as the data catalog and run a scheduled AWS Lambda function that connects to data sources to populate the database.
D. Set up Apache Hive metastore on an Amazon EC2 instance and run a scheduled bash script that connects to data sources to populate the metastore.
Answer: A
Explanation
https://docs.aws.amazon.com/glue/latest/dg/populate-data-catalog.html
QUESTION NO: 2
A city has been collecting data on its public bicycle share program for the past three years. The
SPB dataset currently on Amazon S3. The data contains the following data points:
* Bicycle organization points
* Bicycle destination points
* Mileage between the points
* Number of bicycle slots available at the station (which is variable based on the station location)
* Number of slots available and taken at each station at a given time
The program has received additional funds to increase the number of bicycle stations, available. All data is regularly archived to Amazon Glacier.
The new bicycle station must be located to provide the most riders access to bicycles. How should this task be performed?
A. Move the data from Amazon S3 into Amazon EBS-backed volumes and EC2 Hardoop with spot instances to run a Spark job that performs a stochastic gradient descent optimization.
B. Persist the data on Amazon S3 and use a transits EMR cluster with spot instances to run a Spark streaming job that will move the data into Amazon Kinesis.
C. Keep the data on Amazon S3 and use an Amazon EMR based Hadoop cluster with spot insistences to run a spark job that perform a stochastic gradient descent optimization over EMBFS.
D. Use the Amazon Redshift COPY command to move the data from Amazon S3 into RedShift and platform a SQL query that outputs the most popular bicycle stations.
Answer: C
QUESTION NO: 3
Are you able to integrate a multi-factor token service with the AWS Platform?
A. Yes, you can integrate private multi-factor token devices to authenticate users to the AWS platform.
B. Yes, using the AWS multi-factor token devices to authenticate users on the AWS platform.
C. No, you cannot integrate multi-factor token devices with the AWS platform.
Answer: B
QUESTION NO: 4
What does Amazon ELB stand for?
A. Elastic Linux Box.
B. Elastic Load Balancing.
C. Encrypted Load Balancing.
D. Encrypted Linux Box.
Answer: B
QUESTION NO: 5
A sys admin is planning to subscribe to the RDS event notifications. For which of the below mentioned source categories the subscription cannot be configured?
A. DB security group
B. DB parameter group
C. DB snapshot
D. DB options group
Answer: D
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Updated: May 28, 2022