- (Exam Topic 1)
Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)

1. A. Supervised learning to determine which transactions are most likely to be fraudulent.
2. B. Unsupervised learning to determine which transactions are most likely to be fraudulent.
3. C. Clustering to divide the transactions into N categories based on feature similarity.
4. D. Supervised learning to predict the location of a transaction.
5. E. Reinforcement learning to predict the location of a transaction.
6. F. Unsupervised learning to predict the location of a transaction.

Correct Answer: BCE

- (Exam Topic 1)
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?

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

Correct Answer: D

- (Exam Topic 1)
You are working on a sensitive project involving private user data. You have set up a project on Google Cloud Platform to house your work internally. An external consultant is going to assist with coding a complex transformation in a Google Cloud Dataflow pipeline for your project. How should you maintain users’ privacy?

1. A. Grant the consultant the Viewer role on the project.
2. B. Grant the consultant the Cloud Dataflow Developer role on the project.
3. C. Create a service account and allow the consultant to log on with it.
4. D. Create an anonymized sample of the data for the consultant to work with in a different project.

Correct Answer: C

- (Exam Topic 1)
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow. Numerous data logs are being are being generated during this step, and the team wants to analyze them. Due to the dynamic nature of the campaign, the data is growing exponentially every hour.
The data scientists have written the following code to read the data for a new key features in the logs. BigQueryIO.Read
.named(“ReadLogData”)
.from(“clouddataflow-readonly:samples.log_data”)
You want to improve the performance of this data read. What should you do?

1. A. Specify the TableReference object in the code.
2. B. Use .fromQuery operation to read specific fields from the table.
3. C. Use of both the Google BigQuery TableSchema and TableFieldSchema classes.
4. D. Call a transform that returns TableRow objects, where each element in the PCollexction represents asingle row in the table.

Correct Answer: D

- (Exam Topic 5)
Which role must be assigned to a service account used by the virtual machines in a Dataproc cluster so they can execute jobs?

1. A. Dataproc Worker
2. B. Dataproc Viewer
3. C. Dataproc Runner
4. D. Dataproc Editor

Correct Answer: A
Service accounts used with Cloud Dataproc must have Dataproc/Dataproc Worker role (or have all the permissions granted by Dataproc Worker role).
Reference: https://cloud.google.com/dataproc/docs/concepts/service-accounts#important_notes