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

Databricks Exam Databricks-Certified-Data-Analyst-Associate Topic 2 Question 23 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate Exam exam
Question #: 23
Topic #: 2
[All Databricks Certified Data Analyst Associate Exam Questions]

In which of the following situations should a data analyst use higher-order functions?

Show Suggested Answer Hide Answer
Suggested Answer: C

Higher-order functions are a simple extension to SQL to manipulate nested data such as arrays. A higher-order function takes an array, implements how the array is processed, and what the result of the computation will be. It delegates to a lambda function how to process each item in the array. This allows you to define functions that manipulate arrays in SQL, without having to unpack and repack them, use UDFs, or rely on limited built-in functions. Higher-order functions provide a performance benefit over user defined functions.Reference:Higher-order functions | Databricks on AWS,Working with Nested Data Using Higher Order Functions in SQL on Databricks | Databricks Blog,Higher-order functions - Azure Databricks | Microsoft Learn,Optimization recommendations on Databricks | Databricks on AWS


by Cherelle at Sep 16, 2024, 06:09 AM

Limited Time Offer

25%

Off

Get Premium Databricks-Certified-Data-Analyst-Associate Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Theron
5 days ago
But what about when built-in functions are taking too long to perform tasks? Wouldn't using higher-order functions help speed up the process?
upvoted 0 times
...
Flo
5 days ago
Higher-order functions? That's just fancy talk for 'doing math with functions'. I'll go with A, keep it simple, you know?
upvoted 0 times
...
Kristofer
7 days ago
I agree with Haydee. Using higher-order functions can make it easier to apply custom logic to large datasets efficiently.
upvoted 0 times
...
Lenna
7 days ago
Hmm, I'm not sure about this one. I guess I'll go with B since converting custom logic to Python-native code seems like a good use case for higher-order functions.
upvoted 0 times
...
Haydee
11 days ago
I think a data analyst should use higher-order functions when custom logic needs to be applied at scale to array data objects.
upvoted 0 times
...
Lonny
12 days ago
D seems like the obvious choice here. If built-in functions are taking too long, higher-order functions can optimize the process.
upvoted 0 times
...
Cassandra
26 days ago
I think the correct answer is C. Higher-order functions are great for applying custom logic at scale to array data objects.
upvoted 0 times
Juan
7 days ago
I think it's C too. It makes sense to use higher-order functions for array data objects.
upvoted 0 times
...
Juan
11 days ago
I agree, higher-order functions are perfect for applying custom logic at scale to array data objects.
upvoted 0 times
...
...

Save Cancel