Question 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?

Options :

A : Grant the consultant the Viewer role on the project.

B : Grant the consultant the Cloud Dataflow Developer role on the project.

C : Create a service account and allow the consultant to log on with it.

D : Create an anonymized sample of the data for the consultant to work with in a different project.

Answer: C

Question 2

Which of these are examples of a value in a sparse vector? (Select 2 answers.)

Options :

A : [0, 5, 0, 0, 0, 0]

B : [0, 0, 0, 1, 0, 0, 1]

C : [0, 1]

D : [1, 0, 0, 0, 0, 0, 0]

Answer: C,D

Question 3

You are deploying MariaDB SQL databases on GCE VM Instances and need to configure monitoring and alerting. You want to collect metrics including network connections, disk IO and replication status from MariaDB with minimal development effort and use StackDriver for dashboards and alerts.

What should you do?

Options :

A : Install the OpenCensus Agent and create a custom metric collection application with a StackDriver exporter.

B : Place the MariaDB instances in an Instance Group with a Health Check.

C : Install the StackDriver Logging Agent and configure fluentd in_tail plugin to read MariaDB logs.

D : Install the StackDriver Agent and configure the MySQL plugin.

Answer: C

Question 4

A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?

Options :

A : Write data to a Cloud Pub/Sub topic instead of a REST API endpoint and have the ingestion application read from the topic.

B : Write data to a Cloud Storage bucket instead of a REST API endpoint and have the ingestion application read from the bucket.

C : Write data to a Cloud SQL Postgres database endpoint and have the ingestion application query the database.

D : Create a Hadoop cluster in Compute Engine using managed instance groups and write data to an Hbase database and have the application query the database.

Answer: A

Question 5

Your software uses a simple JSON format for all messages. These messages are published to Google Cloud Pub/Sub, then processed with Google Cloud Dataflow to create a real-time dashboard for the CFO. During testing, you notice that some messages are missing in the dashboard. You check the logs, and all messages are being published to Cloud Pub/Sub successfully. What should you do next?

Options :

A : Check the dashboard application to see if it is not displaying correctly.

B : Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output.

C : Use Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.

D : Switch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.

Answer: B

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