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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

A) Configure your Cloud Dataflow pipeline to use local execution
B) Increase the number of nodes in the Cloud Bigtable cluster
C) Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
D) Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
E) Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions

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

3. You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

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

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

5. What are two methods that can be used to denormalize tables in BigQuery?

A) 1) Use nested repeated fields; 2) Use a partitioned table
B) 1) Join tables into one table; 2) Use nested repeated fields
C) 1) Use a partitioned table; 2) Join tables into one table
D) 1) Split table into multiple tables; 2) Use a partitioned table

Solutions: