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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A) VPN
B) HTTP
C) HTTPS
D) SOCKS

2. You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?

A) Re-create the tables using DD
B) Recommend that the Data Science team export the table to a CSV file on Cloud Storage and use Cloud Datalab to explore the data by reading the files directly.
C) Recommend that the Data Science team use wildcards on the table name suffixes to select the data they need.
D) Write an Apache Beam pipeline that creates a BigQuery table per data
E) Partition the tables by a column containing a TIMESTAMP or DATE Type.
F) Modify your pipeline to maintain the last 30-90 days of data in one table and the longer history in a different table to minimize full table scans over the entire history.

3. Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

A) Preemptible workers cannot store data.
B) Preemptible workers cannot use persistent disk.
C) A Dataproc cluster cannot have only preemptible workers.
D) If a preemptible worker is reclaimed, then a replacement worker must be added manually.

4. You want to migrate an on-premises Hadoop system to Cloud Dataproc. Hive is the primary tool in use, and the data format is Optimized Row Columnar (ORC). All ORC files have been successfully copied to a Cloud Storage bucket. You need to replicate some data to the cluster's local Hadoop Distributed File System (HDFS) to maximize performance. What are two ways to start using Hive in Cloud Dataproc? (Choose two.)

A) Replicate external Hive tables to the native ones.
B) Mount the Hive tables from HDFS.
C) Mount the Hive tables locally.
D) Leverage BigQuery connector for Hadoop to mount the BigQuery tables as external Hive table
E) Mount the Hive tables locally.
F) Replicate external Hive tables to the native ones.
G) Then run the Hadoop utility to copy them do HDF
H) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to the master node of the Dataproc cluste
I) Load the ORC files into BigQuer
J) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to HDF
K) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to any node of the Dataproc cluste
L) Leverage Cloud Storage connector for Hadoop to mount the ORC files as external Hive table

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

Solutions: