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Google Data Engineer Sample Questions:

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

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

2. As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
B) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
C) Use Cloud Deployment Manager to automate access provision.
D) Introduce resource hierarchy to leverage access control policy inheritance.
E) Create distinct groups for various teams, and specify groups in Cloud IAM policies.
F) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces

3. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) Python using MapReduce
B) HiveQL using Hive
C) PigLatin using Pig
D) Java using MapReduce

4. You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A) Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
B) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
C) Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.
D) Create a cron schedule in Cloud Dataprep.

5. You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A) Cloud Speech-to-Text API
B) Dialogflow Enterprise Edition
C) Cloud AutoML Natural Language
D) Cloud Natural Language API

Solutions: