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AWS-Big-Data-Specialty Pdf題庫， Amazon AWS-Big-Data-Specialty 考試指南 & AWS Certified Big Data Specialty - Royalholidayclubbed
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AWS Certified Big Data AWS-Big-Data-Specialty 有了目標就要勇敢的去實現。
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AWS-Big-Data-Specialty Pdf題庫資格認證考試是非常熱門的一項考試，雖然很難通過，但是你只要找准了切入點，考試合格並不是什麼難題。Royalholidayclubbed就是你最好的選擇。Royalholidayclubbed命中率高達100%的資料，可以幫你解決AWS-Big-Data-Specialty Pdf題庫考試上的任何難題，只要你認真學習資料上的問題，相信一切難題都可以迎刃而解，你購買了考古題以後還可以得到一年的免費更新服務，一年之內，只要你想更新你擁有的資料，那麼你就可以得到最新版。快點來體驗一下吧。
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AWS-Big-Data-Specialty PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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
QUESTION NO: 5
A telecommunications company needs to predict customer churn (i.e. customers eho decide to switch a computer). The company has historic records of each customer, including monthly consumption patterns, calls to customer service, and whether the customer ultimately quit th eservice. All of this data is stored in Amazon S3. The company needs to know which customers are likely going to churn soon so that they can win back their loyalty.
What is the optimal approach to meet these requirements?
A. Use the Amazon Machine Learning service to build the binary classification model based on the dataset stored in Amazon S3. The model will be used regularly to predict churn attribute for existing customers
B. Use EMR to run the Hive queries to build a profile of a churning customer. Apply the profile to existing customers to determine the likelihood of churn
C. Use AWS QuickSight to connect it to data stored in Amazon S3 to obtain the necessary business insight. Plot the churn trend graph to extrapolate churn likelihood for existing customer
D. Use a Redshift cluster to COPY the data from Amazon S3. Create a user Define Function in Redshift that computers the likelihood of churn
Answer: A
Explanation
https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine- learning/
對于購買我們ACAMS CAMS題庫的考生，可以為你提供一年的免費跟新服務。 PECB ISO-IEC-42001-Lead-Auditor - 另外，如果你想更多地了=瞭解考試相關的知識，它也可以滿足你的願望。 使用我們的Huawei H13-321_V2.0考試題庫進行考前復習，可以節約你大量的學習時間和費用，這是最適合獲得Huawei H13-321_V2.0認證的所必須的學習資料。 為了能順利通過考試，持有完全版的Amazon HashiCorp Terraform-Associate-003題庫資料是必要的，你就能輕松通過想要的認證考試。 通過Amazon Adobe AD0-E608的認證考試可以提高你的IT職業技能。
Updated: May 28, 2022
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