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You want to use Pub/Sub to distribute jobs to a group of Compute Engine VMs, and each VM should take the next job from the queue. How should you configure Pub/Sub?
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Question 2 of 45
2. Question
1 point(s)
Pub/Sub is designed for what the main purpose?
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Question 3 of 45
3. Question
1 point(s)
After a period of maintenance for your application, you want to start it again, but there is a large backlog of messages waiting in its subscription to a Pub/Sub topic that you do not want to process. How can you do this?
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Question 4 of 45
4. Question
1 point(s)
What is the minimum retention duration for a message in Pub/Sub?
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Question 5 of 45
5. Question
1 point(s)
What is the maximum total size permitted for a Publish request, including metadata and payload?
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Question 6 of 45
6. Question
1 point(s)
Which transformation can be used to process collections of key/value pairs similar to the shuffle phase of a map/shuffle/reduce-style algorithm?
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Question 7 of 45
7. Question
1 point(s)
Which operation can be used to invoke a user-specified function of each element of an input PCollection?
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Question 8 of 45
8. Question
1 point(s)
What is a sensible way to test a Cloud Dataflow pipeline before deploying it to production?
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Question 9 of 45
9. Question
1 point(s)
What is the compute model of Cloud Dataflow?
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Question 10 of 45
10. Question
1 point(s)
What would be the most secure way to grant access from Dataflow in Project A to a Cloud Storage bucket in Project B?
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Question 11 of 45
11. Question
1 point(s)
What is a pipeline in the context of Cloud Dataflow?
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Question 12 of 45
12. Question
1 point(s)
What method could you use to help compute averages when dealing with unbounded/streaming data?
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Question 13 of 45
13. Question
1 point(s)
What is the name given to a dataset that can be acted upon within a Cloud Dataflow pipeline?
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Question 14 of 45
14. Question
1 point(s)
Which big data programming model is implemented with Cloud Dataflow?
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Question 15 of 45
15. Question
1 point(s)
What is the purpose of a trigger in Cloud Dataflow?
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Question 16 of 45
16. Question
1 point(s)
Which features are not compatible with Dataproc auto-scaling?
Choose 3
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Question 17 of 45
17. Question
1 point(s)
Which GCP product implements the Apache Beam SDK and is sometimes recommended as an alternative to Dataproc, particularly for streaming data?
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Question 18 of 45
18. Question
1 point(s)
A customer wants to run Spark jobs on a low-cost ephemeral Dataproc cluster, utilizing preemptible workers wherever possible but needs to persistently store the results of Dataproc jobs. What would you recommend?
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Question 19 of 45
19. Question
1 point(s)
Preemptible workers in a Dataproc cluster cannot store HDFS data.
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Question 20 of 45
20. Question
1 point(s)
Which Dataproc supports native output connectors?
Choose 3
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Question 21 of 45
21. Question
1 point(s)
Your customer would like to use Dataproc, but the standard image does not contain additional Spark components required to run their jobs on the ephemeral clusters. What would you recommend?
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Question 22 of 45
22. Question
1 point(s)
Which primary Apache services does Dataproc run?
Choose 2 options.
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Question 23 of 45
23. Question
1 point(s)
Which of these identifiers would make a bad component of a row key?
Choose 2 options.
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Question 24 of 45
24. Question
1 point(s)
Which of these identifiers would make a good component of a row key?
Choose 2
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Question 25 of 45
25. Question
1 point(s)
How does Bigtable manage rows, tables, and tablets?
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Question 26 of 45
26. Question
1 point(s)
If you have 2 replicating clusters in your Bigtable instance, how can you ensure that your application will be guaranteed strong consistency for its transactions?
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Question 27 of 45
27. Question
1 point(s)
What kind of database is Bigtable?
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Question 28 of 45
28. Question
1 point(s)
What action should you take if you observe that Bigtable performance is poor on a subset of queries?
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Question 29 of 45
29. Question
1 point(s)
How does Bigtable manage the storage of tablets?
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Question 30 of 45
30. Question
1 point(s)
For which types of data workload would Bigtable not be a good fit?
Choose 2
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Question 31 of 45
31. Question
1 point(s)
In a region with 4 zones, what is the maximum number of Bigtable clusters available?
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Question 32 of 45
32. Question
1 point(s)
Bigtable is compatible with which open source project’s client library for Java?
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Question 33 of 45
33. Question
1 point(s)
You are required to load a large volume of data into BigQuery that does contain some duplication. What should you do to ensure the best query performance once the data is loaded?
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Question 34 of 45
34. Question
1 point(s)
Which option shown below is true regarding BigQuery jobs?
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Question 35 of 45
35. Question
1 point(s)
When you run a query in BigQuery, what happens to the results?
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Question 36 of 45
36. Question
1 point(s)
_______ recipes can be created without programming or SQL knowledge and exported as Cloud Dataflow jobs.
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Question 37 of 45
37. Question
1 point(s)
You train the AutoML translate model using sets of __________ pairs.
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Question 38 of 45
38. Question
1 point(s)
An Enterprise version offers __________ team-based sharing of workflows, models, and more.
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Question 39 of 45
39. Question
1 point(s)
Once your model is in operation, ______ engines can be used to evaluate its effectiveness.
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Question 40 of 45
40. Question
1 point(s)
In the ________ phase, you identify the problem you want to solve and begin to build a pipeline in KubeFlow.
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Question 41 of 45
41. Question
1 point(s)
______ should typically belong to a department or team within an organization.
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Question 42 of 45
42. Question
1 point(s)
______ are typically grouped around specific applications in specific environments.
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Question 43 of 45
43. Question
1 point(s)
Service accounts have ________.
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Question 44 of 45
44. Question
1 point(s)
Keys can be downloaded in ______ format when a service account is created.
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Question 45 of 45
45. Question
1 point(s)
If a JSON Key is leaked, someone will access billable resources in your ______.
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