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Google Data Engineer Sample Questions:

1. 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 SQL
C) Cloud Bigtable
D) Cloud Datastore

2. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
B) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
C) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
D) Change the zone of your Cloud Dataflow pipeline to run in us-central1
E) Increase the number of max workers
F) Create a temporary table in Cloud Spanner that will act as a buffer for new data
G) Use a larger instance type for your Cloud Dataflow workers

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

4. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) Hive
B) Pig
C) YARN
D) Spark

5. You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A) Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
B) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
C) Create an authorized view in BigQuery to restrict access to tables with sensitive data.
D) Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
E) Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.

Solutions: