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

SAS Exam A00-260 Topic 2 Question 66 Discussion

Actual exam question for SAS's A00-260 exam
Question #: 66
Topic #: 2
[All A00-260 Questions]

You want to create a job that checks conditions for your data before that data is loaded into a data warehouse. The job should be able to detect error conditions such as missing data or duplicate data and take appropriate actions like registering error conditions in log, etc. Which SAS Data Integration Studio transformation should you use?

Show Suggested Answer Hide Answer
Suggested Answer: D

by Jerrod at May 31, 2024, 01:52 AM

Limited Time Offer

25%

Off

Get Premium A00-260 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Gaston
2 months ago
B) Data Validation, for sure. It's like the hall monitor of SAS transformations - making sure the data behaves before it enters the building.
upvoted 0 times
...
Valentin
2 months ago
B) Data Validation, no doubt. Wouldn't want any of that 'missing data' or 'duplicate data' nonsense in my warehouse. Yikes!
upvoted 0 times
...
Kathrine
2 months ago
Hmm, I was considering C) Data Quality, but you're right, B) Data Validation is the more appropriate option. Gotta love those SAS transformations!
upvoted 0 times
Lisandra
8 days ago
User 3: Definitely, Data Validation will help ensure the data is clean and accurate.
upvoted 0 times
...
Reiko
12 days ago
User 2: Yeah, I agree. It's important to check for errors before loading data.
upvoted 0 times
...
Georgiana
1 months ago
User 1: I think B) Data Validation is the best choice for that job.
upvoted 0 times
...
...
Ahmed
2 months ago
I agree, B) Data Validation is the way to go. It's the perfect transformation for the job description.
upvoted 0 times
Nan
17 days ago
User 4: Yeah, it's important to have a transformation that can handle error conditions appropriately.
upvoted 0 times
...
Jules
24 days ago
User 3: Data Validation is definitely the way to go for checking conditions before loading data.
upvoted 0 times
...
Floyd
28 days ago
User 2: I agree, it's perfect for detecting error conditions in the data.
upvoted 0 times
...
Chery
1 months ago
User 1: I think B) Data Validation is the best option for that job.
upvoted 0 times
...
...
Buffy
3 months ago
I'm not sure, but I think C) Data Quality could also be a good option for detecting errors.
upvoted 0 times
...
Sharmaine
3 months ago
I agree with Earleen. Data Validation makes sense for checking conditions.
upvoted 0 times
...
Alishia
3 months ago
B) Data Validation seems like the right choice here. It's specifically designed to check for data quality issues before loading into the warehouse.
upvoted 0 times
Felix
28 days ago
D) Data Extract is used for extracting data from a source system.
upvoted 0 times
...
Rodney
1 months ago
C) Data Quality focuses on improving the overall quality of data in the warehouse.
upvoted 0 times
...
Mattie
1 months ago
B) Data Validation is the best option for checking data quality before loading into the warehouse.
upvoted 0 times
...
Annelle
2 months ago
A) Data Transfer is used for moving data between different systems.
upvoted 0 times
...
...
Earleen
3 months ago
I think the answer is B) Data Validation.
upvoted 0 times
...

Save Cancel