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Google Data Engineer Sample Questions:

1. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A) Trigger based on time
B) Trigger based on element count
C) Trigger based on element size in bytes
D) Trigger that is a combination of other triggers

2. The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

A) master node
B) conditional node
C) application node
D) worker node

3. For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A) Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
B) Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
C) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D) Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.

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

5. As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
B) Use Cloud Deployment Manager to automate access provision.
C) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
D) Introduce resource hierarchy to leverage access control policy inheritance.
E) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
F) Create distinct groups for various teams, and specify groups in Cloud IAM policies.

Solutions: