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

2. 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) HiveQL using Hive
C) Java using MapReduce
D) Python using MapReduce

3. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Single, Global Window
B) Windows at every 1 minute
C) Windows at every 10 minutes
D) Windows at every 100 MB of data

4. Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?

A) Cloud Pub/Sub, Cloud Dataflow, and Local SSD
B) Cloud Pub/Sub, Cloud SQL, and Cloud Storage
C) Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
D) Cloud Load Balancing, Cloud Dataflow, and Cloud Storage

5. You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

A) Sink API
B) Source API
C) Data extraction
D) ParDo

Solutions: