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Google Certified Professional Data Engineer Exam Sample Questions (Q186-Q191):

NEW QUESTION # 186
You are deploying a new storage system for your mobile application, which is a media streaming service. You decide the best fit is Google Cloud Datastore. You have entities with multiple properties, some of which can take on multiple values. For example, in the entity 'Movie' the property 'actors' and the property 'tags' have multiple values but the property 'date released' does not. A typical query would ask for all movies with actor=<actorname> ordered by date_released or all movies with tag=Comedy ordered by date_released. How should you avoid a combinatorial explosion in the number of indexes?

A. Option C
B. Option B.
C. Option D
D. Option A

Answer: D

NEW QUESTION # 187
You are designing a basket abandonment system for an ecommerce company. The system will send a
message to a user based on these rules:
No interaction by the user on the site for 1 hour

Has added more than $30 worth of products to the basket

Has not completed a transaction

You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should
you design the pipeline?

A. Use a session window with a gap time duration of 60 minutes.
B. Use a global window with a time based trigger with a delay of 60 minutes.
C. Use a fixed-time window with a duration of 60 minutes.
D. Use a sliding time window with a duration of 60 minutes.

Answer: B

NEW QUESTION # 188
You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A. Change the zone of your Cloud Dataflow pipeline to run in us-central1
B. Create a temporary table in Cloud Spanner that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
C. Create a temporary table in Cloud Bigtable that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
D. Use a larger instance type for your Cloud Dataflow workers
E. Increase the number of max workers

Answer: B,D

Explanation:
Explanation/Reference:

NEW QUESTION # 189
You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?

A. Create a service account and grant dataset access to that account. Use the service account's private key to access the dataset
B. Create a dummy user and grant dataset access to that user. Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
C. Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
D. Create groups for your users and give those groups access to the dataset

Answer: A

Explanation:
Explanation

NEW QUESTION # 190
The CUSTOM tier for Cloud Machine Learning Engine allows you to specify the number of which types of cluster nodes?

A. Parameter servers
B. Masters, workers, and parameter servers
C. Workers and parameter servers
D. Workers

Answer: C

Explanation:
The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines:
You must set TrainingInput.masterType to specify the type of machine to use for your master node.
You may set TrainingInput.workerCount to specify the number of workers to use.
You may set TrainingInput.parameterServerCount to specify the number of parameter servers to use.
You can specify the type of machine for the master node, but you can't specify more than one master node.

NEW QUESTION # 191
......

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Professional-Data-Engineer Latest Torrent - Professional-Data-Engineer Trustworthy Exam Content

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Google Certified Professional Data Engineer Exam Sample Questions (Q186-Q191):

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