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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Designing data processing systems | 24% | - Designing data pipelines
|
| Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
| Ingesting and processing data | 25% | - Transforming data
|
| Storing and managing data | 20% | - Implementing storage solutions
|
| Maintaining and automating data workloads | 18% | - Automation and optimization
|
Google Data Engineer Sample Questions:
Question 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. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
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
Question 2
You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)
A. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
B. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
C. Increase the number of max workers
D. Change the zone of your Cloud Dataflow pipeline to run in us-central1
E. Use a larger instance type for your Cloud Dataflow workers
F. Create a temporary table in Cloud Spanner that will act as a buffer for new data
G. Create a temporary table in Cloud Bigtable that will act as a buffer for new data
Question 3
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. Data extraction
B. ParDo
C. Sink API
D. Source API
Question 4
By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?
A. Single, Global Window
B. Windows at every 10 minutes
C. Windows at every 1 minute
D. Windows at every 100 MB of data
Question 5
You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?
A. Call the model from your application and process the results as labels.
B. Build and train a text classification model using TensorFlo
C. Deploy the model using a KubernetesEngine cluste
D. Process the generated Sentiment Analysis as labels.
E. Call the Cloud Natural Language API from your applicatio
F. Build and train a text classification model using TensorFlo
G. Deploy the model using Cloud Machine Learning Engin
H. Call the Cloud Natural Language API from your applicatio
I. Call the model from your application and process the results as labels.
J. Process the generated Entity Analysis as labels.
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,E | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: J |








