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Question 1 of 45
1 point(s)
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?
Question 2 of 45
1 point(s)
Pub/Sub is designed for what the main purpose?
Question 3 of 45
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?
Question 4 of 45
1 point(s)
What is the minimum retention duration for a message in Pub/Sub?
Question 5 of 45
1 point(s)
What is the maximum total size permitted for a Publish request, including metadata and payload?
Question 6 of 45
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?
Question 7 of 45
1 point(s)
Which operation can be used to invoke a user-specified function of each element of an input PCollection?
Question 8 of 45
1 point(s)
What is a sensible way to test a Cloud Dataflow pipeline before deploying it to production?
Question 9 of 45
1 point(s)
What is the compute model of Cloud Dataflow?
Question 10 of 45
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?
Question 11 of 45
1 point(s)
What is a pipeline in the context of Cloud Dataflow?
Question 12 of 45
1 point(s)
What method could you use to help compute averages when dealing with unbounded/streaming data?
Question 13 of 45
1 point(s)
What is the name given to a dataset that can be acted upon within a Cloud Dataflow pipeline?
Question 14 of 45
1 point(s)
Which big data programming model is implemented with Cloud Dataflow?
Question 15 of 45
1 point(s)
What is the purpose of a trigger in Cloud Dataflow?
Question 16 of 45
1 point(s)
Which features are not compatible with Dataproc auto-scaling?
Choose 3
Question 17 of 45
1 point(s)
Which GCP product implements the Apache Beam SDK and is sometimes recommended as an alternative to Dataproc, particularly for streaming data?
Question 18 of 45
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?
Question 19 of 45
1 point(s)
Preemptible workers in a Dataproc cluster cannot store HDFS data.
Question 20 of 45
1 point(s)
Which Dataproc supports native output connectors?
Choose 3
Question 21 of 45
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?
Question 22 of 45
1 point(s)
Which primary Apache services does Dataproc run?
Choose 2 options.
Question 23 of 45
1 point(s)
Which of these identifiers would make a bad component of a row key?
Choose 2 options.
Question 24 of 45
1 point(s)
Which of these identifiers would make a good component of a row key?
Choose 2
Question 25 of 45
1 point(s)
How does Bigtable manage rows, tables, and tablets?
Question 26 of 45
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?
Question 27 of 45
1 point(s)
What kind of database is Bigtable?
Question 28 of 45
1 point(s)
What action should you take if you observe that Bigtable performance is poor on a subset of queries?
Question 29 of 45
1 point(s)
How does Bigtable manage the storage of tablets?
Question 30 of 45
1 point(s)
For which types of data workload would Bigtable not be a good fit?
Choose 2
Question 31 of 45
1 point(s)
In a region with 4 zones, what is the maximum number of Bigtable clusters available?
Question 32 of 45
1 point(s)
Bigtable is compatible with which open source project’s client library for Java?
Question 33 of 45
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?
Question 34 of 45
1 point(s)
Which option shown below is true regarding BigQuery jobs?
Question 35 of 45
1 point(s)
When you run a query in BigQuery, what happens to the results?
Question 36 of 45
1 point(s)
_______ recipes can be created without programming or SQL knowledge and exported as Cloud Dataflow jobs.
Question 37 of 45
1 point(s)
You train the AutoML translate model using sets of __________ pairs.
Question 38 of 45
1 point(s)
An Enterprise version offers __________ team-based sharing of workflows, models, and more.
Question 39 of 45
1 point(s)
Once your model is in operation, ______ engines can be used to evaluate its effectiveness.
Question 40 of 45
1 point(s)
In the ________ phase, you identify the problem you want to solve and begin to build a pipeline in KubeFlow.
Question 41 of 45
1 point(s)
______ should typically belong to a department or team within an organization.
Question 42 of 45
1 point(s)
______ are typically grouped around specific applications in specific environments.
Question 43 of 45
1 point(s)
Service accounts have ________.
Question 44 of 45
1 point(s)
Keys can be downloaded in ______ format when a service account is created.
Question 45 of 45
1 point(s)
If a JSON Key is leaked, someone will access billable resources in your ______.