AWS-Big-Data-Specialty 測試題庫， Amazon AWS-Big-Data-Specialty 考試資訊 & AWS Certified Big Data Specialty - Royalholidayclubbed

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AWS-Big-Data-Specialty PDF DEMO:

QUESTION NO: 1
An organization currently runs a large Hadoop environment in their data center and is in the process of creating an alternative Hadoop environment on AWS, using Amazon EMR.
They generate around 20 TB of data on a monthly basis. Also on a monthly basis, files need to be grouped and copied to Amazon S3 to be used for the Amazon EMR environment. They have multiple
S3 buckets across AWS accounts to which data needs to be copied. There is a 10G AWS Direct
Connect setup between their data center and AWS, and the network team has agreed to allocate
A. Use an offline copy method, such as an AWS Snowball device, to copy and transfer data to
Amazon S3.
B. Configure a multipart upload for Amazon S3 on AWS Java SDK to transfer data over AWS Direct
Connect.
C. Use Amazon S3 transfer acceleration capability to transfer data to Amazon S3 over AWS Direct
Connect.
D. Setup S3DistCop tool on the on-premises Hadoop environment to transfer data to Amazon S3 over
AWS Direct Connect.
Answer: D

QUESTION NO: 2
You are managing the AWS account of a big organization. The organization has more than
1000+ employees and they want to provide access to the various services to most of the employees.
Which of the below mentioned options is the best possible solution in this case?
A. The user should create IAM groups as per the organization's departments and add each user to the group for better access control
B. Attach an IAM role with the organization's authentication service to authorize each user for various AWS services
C. The user should create an IAM role and attach STS with the role. The user should attach that role to the EC2 instance and setup AWS authentication on that server
D. The user should create a separate IAM user for each employee and provide access to them as per the policy
Answer: B

QUESTION NO: 3
What does Amazon CloudFormation provide?
A. None of these.
B. The ability to setup Autoscaling for Amazon EC2 instances.
C. A template to map network resources for Amazon Web Services.
D. A templated resource creation for Amazon Web Services.
Answer: D

QUESTION NO: 4
An Operations team continuously monitors the number of visitors to a website to identify any potential system problems. The number of website visitors varies throughout the day. The site is more popular in the middle of the day and less popular at night.
Which type of dashboard display would be the MOST useful to allow staff to quickly and correctly identify system problems?
A. A single KPI metric showing the statistical variance between the current number of website visitors and the historical number of website visitors for the current time of day.
B. A vertical stacked bar chart showing today's website visitors and the historical average number of website visitors.
C. A scatter plot showing today's website visitors on the X-axis and the historical average number of website visitors on the Y-axis.
D. An overlay line chart showing today's website visitors at one-minute intervals and also the historical average number of website visitors.
Answer: A

QUESTION NO: 5
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

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Updated: May 28, 2022

by RHC.

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