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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and operationalizing data processing systems | 28%-33% | - Building data processing systems
|
| Topic 2: Designing data processing systems | 22%-27% | - Designing for data ingestion
|
| Topic 3: Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Topic 4: Ensuring solution quality | 20%-25% | - Data quality management
|
Google Data Engineer Sample Questions:
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
- A. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
- B. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
- C. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
- D. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
Correct Answer: A 🗳️
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. Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
- B. Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
- C. Add a new column called FullName to the Users tabl
- D. Use BigQuery to export the data for the table to a CSV fil
- E. 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.
- F. 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.
Correct Answer: B 🗳️
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 the same zone.
- C. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
- D. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
Correct Answer: B 🗳️
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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
Correct Answer: C 🗳️
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 Cloud Natural Language API from your applicatio
- B. Deploy the model using Cloud Machine Learning Engin
- C. Call the model from your application and process the results as labels.
- D. Call the Cloud Natural Language API from your applicatio
- E. Call the model from your application and process the results as labels.
- F. Process the generated Entity Analysis as labels.
- G. Build and train a text classification model using TensorFlo
- H. Build and train a text classification model using TensorFlo
- I. Process the generated Sentiment Analysis as labels.
- J. Deploy the model using a KubernetesEngine cluste
Correct Answer: F 🗳️
Beau 
Abel 
Lance 
Yvette 
Margaret 
Elmer 
Hannah 
William 
Belle 
Maggie 
Roy 
Setlla 
Baron 
Beulah 
Evan 
Maxwell 
Joyce 
