Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

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

Contribute your Thoughts:

Eun
6 months ago
I personally think a stored procedure would be the best option for ingesting the data.
upvoted 0 times
...
Enola
6 months ago
I am leaning towards using a pipeline that contains a KQL activity.
upvoted 0 times
...
Rosamond
6 months ago
I disagree, I believe using a Spark notebook would be more efficient.
upvoted 0 times
...
Slyvia
6 months ago
I think we should use a dataflow to ingest the customer data.
upvoted 0 times
...
Brent
6 months ago
I disagree. I think using a stored procedure would be the best approach for this task.
upvoted 0 times
...
Dolores
7 months ago
I believe a Spark notebook could also be a good option for ingesting the data.
upvoted 0 times
...
My
7 months ago
I agree with Kristeen. A dataflow would be the most efficient way to do it.
upvoted 0 times
...
Kristeen
7 months ago
I think we should use a dataflow to ingest the customer data.
upvoted 0 times
...
Man
8 months 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
8 months 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
8 months 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
8 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
Daniel
7 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
7 months ago
D) a dataflow
upvoted 0 times
...
Leonard
7 months ago
C) a Spark notebook
upvoted 0 times
...
Craig
7 months ago
B) a pipeline that contains a KQL activity
upvoted 0 times
...
Tennie
8 months ago
A) a stored procedure
upvoted 0 times
...
...
labax66611
9 months 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