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Exam Code: Professional-Data-Engineer
Exam Name: Google Certified Professional Data Engineer Exam
Vendor: Google

60 Questions & Answers
Verified by IT Certification Professionals

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NEW QUESTION: 1
The Ansible Inventory system allows many attributes to be defined within it. Which item below is not one of these?
A. Children groups
B. Host groups
C. Group variables
D. Include vars
Answer: D
Explanation:
Ansible inventory files cannot reference other files for additional data. If this functionality is needed, it must be done in as a script to create a dynamic inventory Reference: http://docs.ansible.com/ansible/intro_inventory.html

NEW QUESTION: 2
Amazon S3バケット「myawsbucket」は、東京地域でホストされているウェブサイトで設定されていますが、地域固有のウェブサイトエンドポイントは何ですか?
A. myawsbucket.tokyo.amazonaws.com
B. www.myawsbucket.ap-northeast-1.amazonaws.com
C. myawsbucket.s3-website-ap-northeast-1.amazonawscom
D. myawsbucket.amazonaws.com
Answer: C

NEW QUESTION: 3

A. Option D
B. Option C
C. Option A
D. Option B
Answer: B

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 85 : In Continuation of previous question, please accomplish following activities.
1. Select all the columns from product table with output header as below. productID AS ID code AS Code name AS Description price AS 'Unit Price'
2. Select code and name both separated by ' -' and header name should be Product
Description'.
3. Select all distinct prices.
4 . Select distinct price and name combination.
5 . Select all price data sorted by both code and productID combination.
6 . count number of products.
7 . Count number of products for each code.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select all the columns from product table with output header as below. productID
AS ID code AS Code name AS Description price AS "Unit Price'
val results = sqlContext.sql(......SELECT productID AS ID, code AS Code, name AS
Description, price AS Unit Price' FROM products ORDER BY ID"""
results.show()
Step 2 : Select code and name both separated by ' -' and header name should be "Product
Description.
val results = sqlContext.sql(......SELECT CONCAT(code,' -', name) AS Product Description, price FROM products""" ) results.showQ
Step 3 : Select all distinct prices.
val results = sqlContext.sql(......SELECT DISTINCT price AS Distinct Price" FROM products......) results.show()
Step 4 : Select distinct price and name combination.
val results = sqlContext.sql(......SELECT DISTINCT price, name FROM products""" ) results. showQ
Step 5 : Select all price data sorted by both code and productID combination.
val results = sqlContext.sql('.....SELECT' FROM products ORDER BY code, productID'.....) results.show()
Step 6 : count number of products.
val results = sqlContext.sql(......SELECT COUNT(') AS 'Count' FROM products......) results.show()
Step 7 : Count number of products for each code.
val results = sqlContext.sql(......SELECT code, COUNT('} FROM products GROUP BY code......) results. showQ val results = sqlContext.sql(......SELECT code, COUNT('} AS count FROM products
GROUP BY code ORDER BY count DESC......)
results. showQ


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