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Google Data Engineer Sample Questions:

1. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
B) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
C) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
D) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet

2. All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

A) only if
B) before
C) once
D) after

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

4. 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) Introduce data compression for each file to increase the rate file of file transfer.
B) Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.
C) 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.
D) Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
E) Assemble 1,000 files into a tape archive (TAR) fil
F) Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.

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

Solutions: