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AWS Certified Big Data AWS-Certified-Big-Data-Specialty 如果你考試失敗，我們將全額退款。
AWS Certified Big Data AWS-Certified-Big-Data-Specialty熱門題庫 - AWS Certified Big Data - Specialty 我們Goldmile-Infobiz不僅僅提供優質的產品給每位元考生，而且提供完善的售後服務給每位考生，如果你使用了我們的產品，我們將讓你享受一年免費的更新，並且在第一時間回饋給每位考生，讓你及時得到更新的最新的考試資料，以最大效益的服務給每位元考生。 Amazon的AWS-Certified-Big-Data-Specialty 題庫分享考試認證是當代眾多考試認證中最有價值的考試認證之一，在近幾十年裏，電腦科學教育已獲得了世界各地人們絕大多數的關注，它每天都是IT資訊技術領域的必要一部分，所以IT人士通過Amazon的AWS-Certified-Big-Data-Specialty 題庫分享考試認證來提高自己的知識，然後在各個領域突破。而Goldmile-Infobiz Amazon的AWS-Certified-Big-Data-Specialty 題庫分享考試認證試題及答案正是他們所需要的，因為想要通過這項測試並不容易的，選擇適當的捷徑只是為了保證成功，Goldmile-Infobiz正是為了你們的成功而存在的，選擇Goldmile-Infobiz等於選擇成功，我們Goldmile-Infobiz提供的試題及答案是Goldmile-Infobiz的IT精英通過研究與實踐而得到的，擁有了超過計畫10年的IT認證經驗。
如果想顺利通过IT考试，Goldmile-Infobiz是你不二的选择。Goldmile-Infobiz提供的資料是Goldmile-Infobiz擁有超過10年經驗的IT精英通過研究與實踐而得到的。Goldmile-Infobiz有你們需要的最新最準確的考試資料。
Amazon AWS-Certified-Big-Data-Specialty熱門題庫 - 在現在的市場上，Goldmile-Infobiz是你最好的選擇。
我們Goldmile-Infobiz網站在全球範圍內赫赫有名，因為它提供給IT行業的培訓資料適用性特別強，這是我們Goldmile-Infobiz的IT專家經過很長一段時間努力研究出來的成果。他們是利用自己的知識和經驗以及摸索日新月異的IT行業發展狀況而成就的Goldmile-Infobiz Amazon的AWS-Certified-Big-Data-Specialty熱門題庫考試認證培訓資料，通過眾多考生利用後反映效果特別好，並通過了測試獲得了認證，如果你是IT備考中的一員，你應當當仁不讓的選擇Goldmile-Infobiz Amazon的AWS-Certified-Big-Data-Specialty熱門題庫考試認證培訓資料，效果當然獨特，不用不知道，用了之後才知道好。
你可以點擊Goldmile-Infobiz的網站下載考古題的demo。PDF版和軟體版都有，事先體驗一下吧。
AWS-Certified-Big-Data-Specialty PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
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
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Updated: May 28, 2022