ExamTopics Logo
Mail Us[email protected]
Menu
Google Discussions
exam questions

Exam Professional Data Engineer All Questions

View all questions & answers for the Professional Data Engineer exam
Go to Exam

Exam Professional Data Engineer topic 1 question 125 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 125
Topic #: 1
[All Professional Data Engineer Questions]

You have a petabyte of analytics data and need to design a storage and processing platform for it. You must be able to perform data warehouse-style analytics on the data in Google Cloud and expose the dataset as files for batch analysis tools in other cloud providers. What should you do?

  • A. Store and process the entire dataset in BigQuery.
  • B. Store and process the entire dataset in Bigtable.
  • C. Store the full dataset in BigQuery, and store a compressed copy of the data in a Cloud Storage bucket.
  • D. Store the warm data as files in Cloud Storage, and store the active data in BigQuery. Keep this ratio as 80% warm and 20% active.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by [deleted] at March 22, 2020, 12:07 p.m.

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
Submit Cancel
Rajokkiyam
Highly Voted 4 years ago
Answer C.
upvoted 34 times
...
AJKumar
Highly Voted 3 years, 10 months ago
A and B can be eliminated right away as they do not talk about providing for other cloud providers. between C and D. The question says nothing about warm or cold data-rather that data should be made available for other providers--C--can fulfill this condition. Answer C.
upvoted 24 times
AzureDP900
1 year, 3 months ago
Agree with C
upvoted 1 times
...
...
zbyszek1
Most Recent 7 months, 1 week ago
For me A. I can use export from BQ to Cloud Storage. There is no need to store two copies of data.
upvoted 1 times
spicebits
5 months, 3 weeks ago
If you export data from BQ to GCS then you will have two copies and you will be in the same architecture as answer C.
upvoted 4 times
...
...
vamgcp
9 months ago
Selected Answer: B
It can be C or D , but I will go with C as storing the full dataset in BigQuery and a compressed copy of the data in Cloud Storage is a good way to balance performance and cost.
upvoted 2 times
...
forepick
11 months ago
Selected Answer: C
Best answer is C, although BQ can query gzipped files stored on GCS directly. Maybe this double storage makes it a bit more highly available.
upvoted 2 times
...
izekc
11 months, 3 weeks ago
Selected Answer: D
D is much more accurate.
upvoted 1 times
...
jkhong
1 year, 4 months ago
Selected Answer: C
D → does not guarantee 100% queryable or accessible/available
upvoted 1 times
...
zellck
1 year, 4 months ago
Selected Answer: C
C is the answer.
upvoted 1 times
...
Smaks
1 year, 9 months ago
You can read streaming data from Pub/Sub, and you can write streaming data to Pub/Sub or BigQuery. Thus Cloud Storage is not a proper sink for streaming pipeline. I vote for B, since it is possible to convert unstructured data and store in BQ
upvoted 1 times
Smaks
1 year, 9 months ago
ignore this comment, please
upvoted 10 times
...
...
Aslkdup
2 years, 1 month ago
BQ can reach files at google storage as external table. so my answer is D. (If data was smaller than this, I would choose C)
upvoted 1 times
...
Bhawantha
2 years, 3 months ago
Selected Answer: C
both requirements are full filled.
upvoted 2 times
...
MaxNRG
2 years, 3 months ago
Selected Answer: D
D: BigQuery + Cloud Storage
upvoted 1 times
jkhong
1 year, 4 months ago
D → does not guarantee 100% queryable or accessible/available
upvoted 2 times
...
...
medeis_jar
2 years, 3 months ago
Selected Answer: C
"You must be able to perform data warehouse-style analytics on the data in Google Cloud and expose the dataset as files for batch analysis tools in other cloud providers?" Analytics -> BQ Exposing -> GCS
upvoted 7 times
...
JG123
2 years, 5 months ago
Correct: C
upvoted 2 times
...
xiaofeng_0226
2 years, 8 months ago
vote for C
upvoted 3 times
...
sumanshu
2 years, 9 months ago
Vote for 'C' A - Only Half requirement fulfil, expose as a file not getting fulfiled B - Not a warehouse C. Both requirements fulfiled...Bigquery and GCS D. Both requirement fulfiled...but what if other cloud provider wants to analysis on rest 80% of the data. - So out of 4 options, C looks okay
upvoted 8 times
...
gcper
3 years, 1 month ago
C BigQuery for analytics processing and Cloud Storage for exposing the data as files
upvoted 3 times
...
Load full discussion...
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
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago