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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A) Set the BigQuery dataset to be multi-regional
B) Set the BigQuery dataset to be multi-regional
C) In the event of an emergency, use the backup copy of the table.
D) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
E) Set the BigQuery dataset to be regiona
F) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
G) In the event of an emergency, use a point-in-time snapshot to recover the data.
H) Set the BigQuery dataset to be regiona
I) In the event of an emergency, use a point-in-time snapshot to recover the data.
J) In the event of an emergency, use the backup copy of the table.

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

3. 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) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
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) Create an authorized view in BigQuery to restrict access to tables with sensitive data.

4. You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A) Use the default autoscaling setting for worker instances.
B) Monitor CPU utilization for the cluste
C) Use Cloud Dataproc to run your transformation
D) Monitor the total execution time for a sampling of job
E) Configure the job to use non-default Compute Engine machine types when needed.
F) Use the diagnose command to generate an operational output archiv
G) Use Cloud Dataproc to run your transformation
H) Resize the number of worker nodes in your cluster via the command line.
I) Use Cloud Dataflow to run your transformation
J) Monitor the job system lag with Stackdrive
K) Use Cloud Dataflow to run your transformation
L) Locate the bottleneck and adjust cluster resources.

5. Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.
You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)

A) Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.
B) Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
C) Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.
D) Create an S3-compatible storage endpoint in your network, and use Google Cloud Storage Transfer Service to transfer on-premices data to the designated storage bucket.
E) Assemble 1,000 files into a tape archive (TAR) fil
F) Introduce data compression for each file to increase the rate file of file transfer.

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