exam questions

Exam SnowPro Core All Questions

View all questions & answers for the SnowPro Core exam

Exam SnowPro Core topic 1 question 1319 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 1319
Topic #: 1
[All SnowPro Core Questions]

A team is developing a machine learning model by training on the latest Snowflake features. The training is taking much longer than expected to complete.

Which step will accelerate the model training?

  • A. Increase the size of the virtual warehouse.
  • B. Add additional clusters to the virtual warehouse.
  • C. Use a Snowpark-optimized virtual warehouse.
  • D. Enable the query acceleration service.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
37ceea2
3 weeks, 2 days ago
Selected Answer: C
It is the main definition/description of SNOWPARK OPTIMIZED
upvoted 1 times
...
ea2023
3 weeks, 5 days ago
Selected Answer: C
Un virtual warehouse optimisé pour Snowpark est spécifiquement conçu pour les charges de travail liées à Snowpark, comme l’entraînement de modèles d’apprentissage automatique. Cette optimisation maximise les ressources pour des calculs ML complexes, en rendant le processus plus rapide et plus efficace.
upvoted 2 times
...
37ceea2
1 month ago
Selected Answer: C
Where was checked. The Snow parked optimized is dedicated to the Machine Learning
upvoted 1 times
...
MultiCloudIronMan
1 month, 1 week ago
Selected Answer: A
Previously checked
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago