PART 1: DP-900: Microsoft Azure Data Fundamentals

PART 1: DP-900: Microsoft Azure Data Fundamentals

90 Qs

quiz-placeholder

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PART 1: DP-900: Microsoft Azure Data Fundamentals

PART 1: DP-900: Microsoft Azure Data Fundamentals

Assessment

Quiz

others

Medium

Created by

Ly Hung Lai

Used 13+ times

FREE Resource

90 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

1- Descriptive analytics tells you.....

What is most likely to occur In the future

What occurred in the past

Which actions you can perform to affect outcomes

Why something occurred in the past

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

3- An extract, transform, and load (ETL) process requires.......

a matching schema in the data source and the data target
a target data store powerful enough to transform data
data that is fully processed before being loaded to the target data store.
that the data target be a relational database

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

4- To complete the sentence, select the appropriate option in the answer area In batch processing,

Data is always inserted one row at a time
Data is processed in real-time
Latency in delivering data processing results is acceptable
Processing can only excute serially

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5- Transcribing audio files is an example of…..analytics.

cognitive
descriptive
predictive
prescriptive

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

9- The massively parallel processing (MPP) engine of Azure Synapse Analytics .........

distributes processing across compute nodes.
distributes processing across control nodes.
redirects client connections across compute nodes.
redirects client connections across control nodes.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

10- ….....is an object associated with a table that sorts and stores the data rows in the table based on their key values.

A clustered index
A FileTable
A foreign key
A stored procedure

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

11- A relational database is appropriate for scenarios that involve a high volume of…...

changes to relationships between entities
geographically distributed writes
transactional writes
writes that have varying data structures

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