BlackFriday 2024! 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

Databricks Exam Databricks-Certified-Professional-Data-Engineer Topic 1 Question 22 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Engineer exam
Question #: 22
Topic #: 1
[All Databricks-Certified-Professional-Data-Engineer Questions]

A user wants to use DLT expectations to validate that a derived table report contains all records from the source, included in the table validation_copy.

The user attempts and fails to accomplish this by adding an expectation to the report table definition.

Which approach would allow using DLT expectations to validate all expected records are present in this table?

Show Suggested Answer Hide Answer
Suggested Answer: D

To validate that all records from the source are included in the derived table, creating a view that performs a left outer join between the validation_copy table and the report table is effective. The view can highlight any discrepancies, such as null values in the report table's key columns, indicating missing records. This view can then be referenced in DLT (Delta Live Tables) expectations for the report table to ensure data integrity. This approach allows for a comprehensive comparison between the source and the derived table.


Databricks Documentation on Delta Live Tables and Expectations: Delta Live Tables Expectations

by Sheridan at Sep 19, 2024, 12:52 AM

Limited Time Offer

25%

Off

Get Premium Databricks-Certified-Professional-Data-Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Essie
16 days ago
Ah, the joys of data validation. It's like trying to herd cats - except the cats are your source data and the herder is a SQL query. Good luck with that!
upvoted 0 times
Gabriele
4 days ago
A) Define a SQL UDF that performs a left outer join on two tables, and check if this returns null values for report key values in a DLT expectation for the report table.
upvoted 0 times
...
...
Lajuana
17 days ago
Option C sounds good to me. Temporary tables are a nice way to encapsulate the join logic without cluttering up the main report definition.
upvoted 0 times
...
France
18 days ago
I hope the exam proctors don't catch me looking up the answer key on my smartwatch. That would be a total DLT (disaster).
upvoted 0 times
...
Ruby
21 days ago
Option B seems the most straightforward approach. Directly joining the tables and checking the results in the DLT expectation is the clearest way to validate the records are present.
upvoted 0 times
Jules
1 days ago
That's true, it's the most straightforward approach.
upvoted 0 times
...
Cecily
10 days ago
I agree, directly joining the tables makes it clear.
upvoted 0 times
...
Dalene
11 days ago
I think option B is the best choice.
upvoted 0 times
...
...
Carri
29 days ago
I'm gonna have to go with option A. Who doesn't love a good SQL UDF? It's like the duct tape of data validation - it may not be pretty, but it gets the job done.
upvoted 0 times
Josefa
3 days ago
I agree, SQL UDFs can be a lifesaver when it comes to data validation.
upvoted 0 times
...
Julio
16 days ago
Option A sounds like the way to go. SQL UDFs are always handy for these situations.
upvoted 0 times
...
...
Herminia
1 months ago
Haha, I bet the user's first attempt involved just staring at the report table and willing the records to appear. Option B is where it's at!
upvoted 0 times
Anna
5 days ago
User 3: Yeah, defining a function that performs a left outer join on validation_copy and report seems like the right approach.
upvoted 0 times
...
Rolande
15 days ago
Option B is where it's at!
upvoted 0 times
...
Linsey
21 days ago
Haha, I bet the user's first attempt involved just staring at the report table and willing the records to appear.
upvoted 0 times
...
...
Temeka
2 months ago
I like the idea of using a temporary table in option C, but defining a view feels more robust and maintainable in the long run.
upvoted 0 times
...
Jacquline
2 months ago
Hmm, that's a good point. Option D) does sound simpler. I might reconsider my choice now.
upvoted 0 times
...
Mitzie
2 months ago
I disagree, I believe option D) is the way to go. Defining a view that performs a left outer join and referencing it in DLT expectations seems more straightforward.
upvoted 0 times
...
Jacquline
2 months ago
I think option A) is the best approach because it involves using a SQL UDF to perform a left outer join and check for null values in the DLT expectation.
upvoted 0 times
...
Paz
2 months ago
Option D seems like the way to go. Defining a view to perform the left outer join and then referencing that in the DLT expectations is a clean and efficient approach.
upvoted 0 times
Eva
14 days ago
I think I'll give that a try, thanks for the suggestion!
upvoted 0 times
...
Yuette
24 days ago
Definitely, it's a smart way to ensure all expected records are present in the table without complicating the report table definition.
upvoted 0 times
...
Tammy
26 days ago
I agree, using a view would simplify the process and make it easier to manage the validation of records.
upvoted 0 times
...
Luann
1 months ago
Option D seems like the way to go. Defining a view to perform the left outer join and then referencing that in the DLT expectations is a clean and efficient approach.
upvoted 0 times
...
...

Save Cancel