What is a key capability of Azure Synapse Analytics?

It provides a unified experience for both data warehousing and big data analytics

It is a service for sending email notifications

It is primarily a NoSQL document database

It is a tool for creating machine learning models only

How does streaming data processing differ from batch data processing in terms of latency?

Streaming provides results after a delay, while batch provides results in near real-time

Both provide results after a fixed delay of one hour

Streaming provides results in near real-time, while batch provides results after a delay

Both provide results in near real-time

What is a key characteristic of batch data processing?

Data is processed only when a user manually triggers the job

Data is processed in large volumes at scheduled intervals

Data is processed with minimal delay as soon as it arrives

Data is processed one record at a time as it is generated

A financial institution processes millions of stock trades. They need to generate end-of-day reports for regulatory compliance, and also need to detect unusual trading patterns immediately to prevent fraud. Which combination of processing approaches should they use?

Batch processing for the end-of-day reports and streaming processing for fraud detection.

Streaming processing for both the reports and fraud detection.

Batch processing for both the reports and fraud detection.

Use only interactive queries on the trade database.

A marketing agency runs a campaign and wants to analyze customer engagement. They need a daily summary of clicks and conversions, but also want to pause the campaign immediately if engagement drops below a threshold. Which processing approach should they use for each requirement?

Streaming for both the daily summary and threshold monitoring.

Use only interactive queries on the clickstream data.

Batch for both the daily summary and threshold monitoring.

Batch for the daily summary and streaming for the threshold monitoring.

Microsoft Certified:Azure Data Fundamentals

Domain 4Objective 2

Describe Considerations for Real-Time Data Analytics DP-900 Practice Questions (Page 3)

Part of the Describe an analytics workload on Azure domain, which accounts for 25–30% of the DP-900 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~5–9 in this domain), expect 2–3 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)

22questions here

5free pages

7concepts

25–30%of the exam

Questions 11–15

11foundation · easy
What is a key capability of Azure Synapse Analytics?
Select an answer first
12foundation · easy
How does streaming data processing differ from batch data processing in terms of latency?
Select an answer first
13foundation · easy
What is a key characteristic of batch data processing?
Select an answer first
14application · medium
A financial institution processes millions of stock trades. They need to generate end-of-day reports for regulatory compliance, and also need to detect unusual trading patterns immediately to prevent fraud. Which combination of processing approaches should they use?
Select an answer first
15application · medium
A marketing agency runs a campaign and wants to analyze customer engagement. They need a daily summary of clicks and conversions, but also want to pause the campaign immediately if engagement drops below a threshold. Which processing approach should they use for each requirement?
Select an answer first

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