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Google Data Engineer Sample Questions:

1. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A) SOCKS
B) HTTP
C) VPN
D) HTTPS

2. The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

A) worker node
B) application node
C) master node
D) conditional node

3. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

A) Cloud Spanner
B) Cloud Datastore
C) Cloud Bigtable
D) Cloud SQL

4. You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?

A) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
B) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
C) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
D) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.

5. MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?

A) Rowkey: data_pointColumn data: device_id, date
B) Rowkey: device_idColumn data: date, data_point
C) Rowkey: date#data_pointColumn data: device_id
D) Rowkey: dateColumn data: device_id, data_point
E) Rowkey: date#device_idColumn data: data_point

Solutions: