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 134 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 134
Topic #: 1
[All Professional Data Engineer Questions]

You are building an application to share financial market data with consumers, who will receive data feeds. Data is collected from the markets in real time.
Consumers will receive the data in the following ways:
✑ Real-time event stream
✑ ANSI SQL access to real-time stream and historical data
✑ Batch historical exports
Which solution should you use?

  • A. Cloud Dataflow, Cloud SQL, Cloud Spanner
  • B. Cloud Pub/Sub, Cloud Storage, BigQuery
  • C. Cloud Dataproc, Cloud Dataflow, BigQuery
  • D. Cloud Pub/Sub, Cloud Dataproc, Cloud SQL
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by [deleted] at March 22, 2020, 10:43 a.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
itche_scratche
Highly Voted 4 years, 9 months ago
D, not ideal but only option that work. You need pubsub, then a processing layer (dataflow or dataproc), then storage (some sql database).
upvoted 12 times
seiyassa
4 years, 6 months ago
I think pubsub doesn't have good connection to dataproc, so D is not the answer
upvoted 3 times
jkhong
2 years, 7 months ago
As of Dec 2022,there is the PubSub Lite connector to Dataproc
upvoted 2 times
...
...
jkhong
2 years, 7 months ago
We can have our pubsub topics to have BigQuery subscriptions, where data is automatically streamed into our BQ tables. Autoscaling is already handled automatically so this renders Dataflow and Dataproc pretty irrelevant for our usecase
upvoted 1 times
cetanx
2 years, 1 month ago
Here is the reference: https://cloud.google.com/blog/products/data-analytics/pub-sub-launches-direct-path-to-bigquery-for-streaming-analytics
upvoted 2 times
...
...
...
medeis_jar
Highly Voted 3 years, 6 months ago
Selected Answer: B
✑ Real-time event stream -> Pub/Sub ✑ ANSI SQL access to real-time stream and historical data -> BigQuery ✑ Batch historical exports -> Cloud Storage
upvoted 10 times
...
SamuelTsch
Most Recent 8 months, 3 weeks ago
Selected Answer: D
why B? The main goal of the question is data storage. Thus BigQuery is not neccessary for this situation. Option D from my point of view cover the whole requirements. Pub/Sub for streaming data, dataproc for data processing, SQL for storage.
upvoted 1 times
...
barnac1es
1 year, 9 months ago
B. Cloud Pub/Sub, Cloud Storage, BigQuery. Here's how this solution aligns with your requirements: Real-time Event Stream: Cloud Pub/Sub is a managed messaging service that can handle real-time event streams efficiently. You can use Pub/Sub to ingest and publish real-time market data to consumers. ANSI SQL Access: BigQuery supports ANSI SQL queries, making it suitable for both real-time and historical data analysis. You can stream data into BigQuery tables from Pub/Sub and provide ANSI SQL access to consumers. Batch Historical Exports: Cloud Storage can be used for batch historical exports. You can export data from BigQuery to Cloud Storage in batch, making it available for consumers to download.
upvoted 4 times
...
vaga1
2 years, 1 month ago
Selected Answer: B
I was in doubt as I did not know that BQ handles real-time access to data without dataflow underneath. https://cloud.google.com/bigquery/docs/write-api#:~:text=You%20can%20use%20the%20Storage,in%20a%20single%20atomic%20operation.
upvoted 2 times
...
midgoo
2 years, 4 months ago
Selected Answer: B
Event Stream -> PubSub PubSub has direct Write to BigQuery Historical Exports to GCS
upvoted 1 times
...
AzureDP900
2 years, 6 months ago
B. Cloud Pub/Sub, Cloud Storage, BigQuery
upvoted 3 times
AzureDP900
2 years, 6 months ago
https://cloud.google.com/solutions/stream-analytics/
upvoted 1 times
...
...
zellck
2 years, 7 months ago
Selected Answer: B
B is the answer.
upvoted 3 times
...
John_Pongthorn
2 years, 9 months ago
Selected Answer: B
B: https://cloud.google.com/solutions/stream-analytics/ Real-time made real easy Adopt simple ingestion for complex events Ingest and analyze hundreds of millions of events per second from applications or devices virtually anywhere on the globe with Pub/Sub. Or directly stream millions of events per second into your data warehouse for SQL-based analysis with BigQuery's streaming API.
upvoted 3 times
...
John_Pongthorn
2 years, 10 months ago
Selected Answer: B
No matter what the last of it must end up with bigquery and the first service is pubsub I think intimidate service it should be dataflow
upvoted 1 times
...
Motivated_Gamer
3 years, 3 months ago
Selected Answer: A
Dataflow: Streaming data CLoud SQL: for ansi sql support Spanner: for batch historical data export
upvoted 1 times
tavva_prudhvi
3 years, 3 months ago
You gonna use batch historical export for Spanner? It's B!
upvoted 2 times
...
...
Prasanna_kumar
3 years, 4 months ago
Answer is B
upvoted 1 times
...
MaxNRG
3 years, 6 months ago
Selected Answer: B
Cloud Pub/Sub, Cloud Dataflow, BigQuery https://cloud.google.com/solutions/stream-analytics/
upvoted 4 times
MaxNRG
1 year, 6 months ago
B. Cloud Pub/Sub, Cloud Storage, BigQuery The key requirements here are: 1. Real-time event stream (Pub/Sub) 2. ANSI SQL access to real-time and historical data (BigQuery) 3. Batch historical exports (Cloud Storage) So Cloud Pub/Sub provides the real-time stream, BigQuery provides ANSI SQL access to stream and historical data, and Cloud Storage enables batch historical exports. Option A is incorrect because Cloud Spanner does not offer batch exports and Dataflow is overkill for just SQL access. Option C is incorrect as Dataproc is for spark workloads, not serving consumer data. Option D is incorrect as Cloud SQL does not provide batch export capabilities. Therefore, option B with Pub/Sub, Storage, and BigQuery is the best solution given the stated requirements. Dataflow https://cloud.google.com/solutions/stream-analytics/
upvoted 1 times
...
...
JG123
3 years, 7 months ago
Correct: B
upvoted 1 times
...
AdrianMonter26
3 years, 7 months ago
I think it must be D because you need Pub/Sub for streaming data, Dataflow or DataProc to get the data from Pub/Sub and store it in a database and finally the Cloud SQL database to store the data. A and C cannot be because it is missing something for streaming data B It can't be because you need something to pass the data from Pub/Sub to Cloud storage
upvoted 3 times
...
sumanshu
4 years ago
Vote for B
upvoted 3 times
...
sumanshu
4 years ago
Vote for B
upvoted 1 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