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

Google Professional Machine Learning Engineer Exam - Topic 1 Question 12 Discussion

You are training a TensorFlow model on a structured data set with 100 billion records stored in several CSV files. You need to improve the input/output execution performance. What should you do?
B) Load the data into Cloud Bigtable, and read the data from Bigtable
A) Load the data into BigQuery and read the data from BigQuery.
C) Convert the CSV files into shards of TFRecords, and store the data in Cloud Storage
D) Convert the CSV files into shards of TFRecords, and store the data in the Hadoop Distributed File System (HDFS)

Google Professional Machine Learning Engineer Exam - Topic 1 Question 12 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 12
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You are training a TensorFlow model on a structured data set with 100 billion records stored in several CSV files. You need to improve the input/output execution performance. What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Clorinda at May 07, 2022, 08:53 AM

Limited Time Offer

25%

Off

Get Premium Professional Machine Learning Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Eladia
10 months ago
Wait, can Bigtable really outperform BigQuery for this?
upvoted 0 times
...
Ressie
10 months ago
Definitely agree with using Cloud Storage for better performance!
upvoted 0 times
...
Carey
11 months ago
HDFS? Isn't that a bit outdated for this scale?
upvoted 0 times
...
Franklyn
11 months ago
I think TFRecords are the way to go for TensorFlow.
upvoted 0 times
...
Lasandra
11 months ago
BigQuery can handle massive datasets efficiently!
upvoted 0 times
...
Jenifer
11 months ago
I’m a bit confused about whether Cloud Bigtable would really improve performance compared to using TFRecords.
upvoted 0 times
...
Karrie
11 months ago
I practiced a similar question where we converted CSVs to TFRecords, and I think that’s definitely a good approach.
upvoted 0 times
...
Tequila
11 months ago
I think loading data into BigQuery could help, but I feel like it might not be the fastest option for such a large dataset.
upvoted 0 times
...
Adaline
11 months ago
I remember we discussed using TFRecords for better performance, but I'm not sure if Cloud Storage is better than HDFS for this case.
upvoted 0 times
...
Aide
11 months ago
Hmm, the continuation callouts could be an interesting approach, but I'm not sure if that would work well with the 3,000 concurrent users. Maybe we could look into using platform events and the empAPI instead?
upvoted 0 times
...
Reid
11 months ago
Hmm, I'm a bit unsure about this one. The question is asking about specific actions SoundCare should take, but I'm not totally clear on the details of the Federal Sentencing Guidelines. I'll need to review those closely.
upvoted 0 times
...
Roxanne
11 months ago
This question seems a bit concerning. I'll need to think carefully about the implications before answering.
upvoted 0 times
...

Save Cancel