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

2. 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) 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.
C) Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.
D) Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
E) Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.
F) Assemble 1,000 files into a tape archive (TAR) fil

3. You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?

A) Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
B) Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.
C) Add a new column called FullName to the Users tabl
D) Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
E) Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery.
F) Use BigQuery to export the data for the table to a CSV fil

4. You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

A) Cloud Scheduler
B) cron
C) Workflow Templates on Cloud Dataproc
D) Cloud Composer

5. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Deploy a Cloud Dataproc cluste
B) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
C) Install the Cloud Storage connector, and store the data in Cloud Storag
D) Use a standard persistent disk and 50% preemptible worker
E) Deploy a Cloud Dataproc cluste
F) Change references in scripts from hdfs:// to gs://
G) Change references in scripts from hdfs:// to gs://
H) Use an SSD persistent disk and 50% preemptible worker
I) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
J) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
K) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://

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