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

Exam Associate Cloud Engineer All Questions

View all questions & answers for the Associate Cloud Engineer exam
Go to Exam

Exam Associate Cloud Engineer topic 1 question 213 discussion

Actual exam question from Google's Associate Cloud Engineer
Question #: 213
Topic #: 1
[All Associate Cloud Engineer Questions]

You are building a data lake on Google Cloud for your Internet of Things (IoT) application. The IoT application has millions of sensors that are constantly streaming structured and unstructured data to your backend in the cloud. You want to build a highly available and resilient architecture based on Google-recommended practices. What should you do?

  • A. Stream data to Pub/Sub, and use Dataflow to send data to Cloud Storage.
  • B. Stream data to Pub/Sub, and use Storage Transfer Service to send data to BigQuery.
  • C. Stream data to Dataflow, and use Dataprep by Trifacta to send data to Bigtable.
  • D. Stream data to Dataflow, and use Storage Transfer Service to send data to BigQuery.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by shreykul at July 24, 2023, 3:02 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
shreykul
Highly Voted 7 months, 1 week ago
Selected Answer: A
A. Streaming data to Pub/Sub allows you to decouple the ingestion of data from the processing and storage, providing a scalable and reliable message queue that can handle the high volume of data coming from millions of sensors. Using Dataflow to consume data from Pub/Sub and send it to Cloud Storage allows for real-time data processing and storage. Dataflow is a fully managed service for processing data in real-time or batch mode, making it an ideal choice for handling the constant stream of data from IoT sensors. Storing data in Cloud Storage offers high durability and availability, providing a robust foundation for building a data lake. Cloud Storage is a scalable object storage service that can handle large volumes of structured and unstructured data, making it well-suited for the IoT application's data requirements.
upvoted 12 times
...
VijKall
Highly Voted 4 months ago
Selected Answer: A
Pub/Sub , Dataflow and BigTable would have been idle solution, but since Cloud Storage is the only option with that combo, I will go with A.
upvoted 5 times
nmnm22
4 months ago
ideal*
upvoted 2 times
...
...
[Removed]
Most Recent 4 months ago
Accordingly to: https://cloud.google.com/learn/what-is-a-data-lake "Related products and services Google Cloud offers a suite of autoscaling services that enable you to build a data lake that integrates with your existing applications, skills, and IT investments. This includes Dataflow and Cloud Data Fusion for data ingestion, [[[Cloud Storage]]] for storage, and Dataproc and BigQuery for data and analytics processing. " Google topics only mentions Cloud Storage for such system, so A IS CORRECT.
upvoted 1 times
...
joao_01
5 months, 3 weeks ago
Selected Answer: A
Its A, for sure.
upvoted 1 times
...
Captain1212
5 months, 3 weeks ago
A is the correct answer a there is both unstuctured and strucutder data
upvoted 3 times
...
3arle
7 months ago
Selected Answer: A
according to https://cloud.google.com/architecture/optimized-large-scale-analytics-ingestion
upvoted 2 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
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago