AWS-Big-Data-Specialty 題庫下載 - Amazon AWS-Big-Data-Specialty 認證資料 & AWS Certified Big Data Specialty - Royalholidayclubbed

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這是因為IT專家們可以很好地抓住考試的出題點，從而將真實考試時可能出現的所有題都包括到資料裏了。覺得不可思議嗎？但是這是真的。用過之後你就會知道。 Royalholidayclubbed的線上培訓有著多年的經驗，可以為參加Amazon AWS-Big-Data-Specialty題庫下載 認證考試的考生提供高品質的學習資料，來能滿足考生的所有需求。在如今互聯網如此發達社會裏，選擇線上培訓已經是很普遍的現象。那麼，什麼資料有讓你選擇的價值呢？你選擇的是不是Royalholidayclubbed的AWS-Big-Data-Specialty題庫下載考古題？如果是的話，那麼你就不用再擔心不能通過考試了。

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AWS-Big-Data-Specialty PDF DEMO:

QUESTION NO: 1
An organization's data warehouse contains sales data for reporting purposes. data governance policies prohibit staff from accessing the customers' credit card numbers.
How can these policies be adhered to and still allow a Data Scientist to group transactions that use the same credit card number?
A. Store a cryptographic hash of the credit card number.
B. Mask the credit card numbers to only show the last four digits of the credit card number.
C. Encrypt the credit card number with a symmetric encryption key, and give the key only to the authorized Data Scientist.
D. Encrypt the credit card number with an asymmetric encryption key and give the decryption key only to the authorized Data Scientist.
Answer: A

QUESTION NO: 2
True or False: When you add a rule to a DB security group, you do not need to specify port number or protocol.
A. TRUE
B. FALSE
C. Depends on the RDMS used
Answer: A

QUESTION NO: 3
Does Amazon RDS allow direct host access via Telnet, Secure Shell (SSH), or Windows Remote
Desktop Connection?
A. No
B. Yes
C. Depends on if it is in VPC or not
Answer: A

QUESTION NO: 4
To help you manage your Amazon EC2 instances, images, and other Amazon EC2 resources, you can assign your own metadata to each resource in the form of____________
A. functions
B. special filters
C. wildcards
D. tags
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/

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Updated: May 28, 2022

by RHC.

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