Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Microsoft Exam DP-600 Topic 1 Question 6 Discussion

Actual exam question for Microsoft's DP-600 exam
Question #: 6
Topic #: 1
[All DP-600 Questions]

What should you recommend using to ingest the customer data into the data store in the AnatyticsPOC workspace?

Show Suggested Answer Hide Answer
Suggested Answer: D

by Kiley at Feb 12, 2024, 01:37 PM

Limited Time Offer

25%

Off

Get Premium DP-600 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Eun
10 months ago
I personally think a stored procedure would be the best option for ingesting the data.
upvoted 0 times
...
Enola
10 months ago
I am leaning towards using a pipeline that contains a KQL activity.
upvoted 0 times
...
Rosamond
10 months ago
I disagree, I believe using a Spark notebook would be more efficient.
upvoted 0 times
...
Slyvia
10 months ago
I think we should use a dataflow to ingest the customer data.
upvoted 0 times
...
Brent
11 months ago
I disagree. I think using a stored procedure would be the best approach for this task.
upvoted 0 times
...
Dolores
11 months ago
I believe a Spark notebook could also be a good option for ingesting the data.
upvoted 0 times
...
My
11 months ago
I agree with Kristeen. A dataflow would be the most efficient way to do it.
upvoted 0 times
...
Kristeen
11 months ago
I think we should use a dataflow to ingest the customer data.
upvoted 0 times
...
Man
1 years ago
Good one, Brock! I think we've narrowed it down to the pipeline and dataflow options. Now it's just a matter of which one fits the use case better.
upvoted 0 times
...
Shelba
1 years ago
The Spark notebook could be an interesting choice, but I'm not sure if it's the most appropriate for this scenario. It might be overkill for just ingesting data.
upvoted 0 times
...
Monte
1 years ago
Hmm, I'm leaning towards the dataflow option. It seems more straightforward and flexible for ingesting customer data, don't you think?
upvoted 0 times
...
Brock
1 years ago
Haha, yeah, stored procedures are like the mullet of data engineering - business in the front, party in the back. Not my first choice either!
upvoted 0 times
Daniel
12 months ago
Haha, yeah, stored procedures are like the mullet of data engineering - business in the front, party in the back. Not my first choice either!
upvoted 0 times
...
Yuette
12 months ago
D) a dataflow
upvoted 0 times
...
Leonard
12 months ago
C) a Spark notebook
upvoted 0 times
...
Craig
12 months ago
B) a pipeline that contains a KQL activity
upvoted 0 times
...
Tennie
12 months ago
A) a stored procedure
upvoted 0 times
...
...
labax66611
1 years ago
For ingesting customer data into the data store in the AnalyticsPOC workspace, Apache Kafka could be recommended due to its real-time data streaming capabilities, scalability, and fault tolerance, ensuring efficient and reliable data ingestion for analytics purposes.
upvoted 1 times
...

Save Cancel