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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. What is the general recommendation when designing your row keys for a Cloud Bigtable schema?

A) Keep the row keep as an 8 bit integer
B) Keep your row key reasonably short
C) Include multiple time series values within the row key
D) Keep your row key as long as the field permits

2. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
B) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
C) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
D) Deploy the Cloud SQL Proxy on the Cloud Dataproc master

3. You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

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

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

5. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use the WHERE_PARTITIONTIME pseudo column
B) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
C) Use the TABLE_DATE_RANGE function
D) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD

Solutions: