- (Exam Topic 6)
You are developing an application on Google Cloud that will automatically generate subject labels for users’ blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

1. A. Call the Cloud Natural Language API from your applicatio
2. B. Process the generated Entity Analysis as labels.
3. C. Call the Cloud Natural Language API from your applicatio
4. D. Process the generated Sentiment Analysis as labels.
5. E. Build and train a text classification model using TensorFlo
6. F. Deploy the model using Cloud MachineLearning Engin
7. G. Call the model from your application and process the results as labels.
8. H. Build and train a text classification model using TensorFlo
9. I. Deploy the model using a Kubernetes Engine cluste
10. J. Call the model from your application and process the results as labels.

Correct Answer: B

- (Exam Topic 5)
What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

1. A. Sessions
2. B. OutputCriteria
3. C. Windows
4. D. Triggers

Correct Answer: D
Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
Reference:
https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Tri

- (Exam Topic 4)
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= 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?

1. A. Option A
2. B. Option B.
3. C. Option C
4. D. Option D

Correct Answer: A

- (Exam Topic 6)
You need to set access to BigQuery for different departments within your company. Your solution should comply with the following requirements:
Each department should have access only to their data.
Each department will have one or more leads who need to be able to create and update tables and provide them to their team.
Each department has data analysts who need to be able to query but not modify data. How should you set access to the data in BigQuery?

1. A. Create a dataset for each departmen
2. B. Assign the department leads the role of OWNER, and assign the data analysts the role of WRITER on their dataset.
3. C. Create a dataset for each departmen
4. D. Assign the department leads the role of WRITER, and assign the data analysts the role of READER on their dataset.
5. E. Create a table for each departmen
6. F. Assign the department leads the role of Owner, and assign the data analysts the role of Editor on the project the table is in.
7. G. Create a table for each departmen
8. H. Assign the department leads the role of Editor, and assign the data analysts the role of Viewer on the project the table is in.

Correct Answer: D

- (Exam Topic 5)
Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?

1. A. Field promotion
2. B. Randomization
3. C. Salting
4. D. Hashing

Correct Answer: A
By default, prefer field promotion. Field promotion avoids hotspotting in almost all cases, and it tends to make it easier to design a row key that facilitates queries.
Reference:
https://cloud.google.com/bigtable/docs/schema-design-time-series#ensure_that_your_row_key_avoids_hotspotti