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Google Data Engineer Sample Questions:

1. You are designing storage for two relational tables that are part of a 10-TB database on Google Cloud. You want to support transactions that scale horizontally. You also want to optimize data for range queries on nonkey columns. What should you do?

A) Use Cloud Dataflow to transform data to support query patterns.
B) Add secondary indexes to support query patterns.
C) Use Cloud SQL for storag
D) Use Cloud Spanner for storag
E) Use Cloud Dataflow to transform data to support query patterns.
F) Use Cloud SQL for storag
G) Add secondary indexes to support query patterns.
H) Use Cloud Spanner for storag

2. 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 accoun
B) Create a dummy user and grant dataset access to that use
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
E) Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
F) Use the service account's private key to access the dataset

3. You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

A) An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
B) An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
C) An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
D) An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination

4. Which of these sources can you not load data into BigQuery from?

A) Google Drive
B) Google Cloud SQL
C) File upload
D) Google Cloud Storage

5. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Export the data into a Google Sheet for virtualization.
B) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
C) Create a view on the table to present to the virtualization tool.
D) Create an additional table with only the necessary columns.

Solutions: