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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Maintaining and automating data workloads18%- Operationalizing workloads
  • 1. Orchestrating and scheduling jobs
  • 2. Ensuring reliability and recoverability
  • 3. Monitoring and troubleshooting pipelines
- Automation and optimization
  • 1. Automating deployment and management
  • 2. Optimizing resource usage and costs
Topic 2: Preparing data for analysis and machine learning13%- Enabling data analysis
  • 1. Preparing datasets for querying and reporting
  • 2. Optimizing query performance
  • 3. Implementing data sharing and governance
- Preparing data for ML
  • 1. Supporting model training and serving
  • 2. Feature engineering and data preparation
Topic 3: Ingesting and processing data25%- Building data pipelines
  • 1. Implementing ingestion mechanisms
  • 2. Developing batch and streaming workflows
  • 3. Handling data quality and consistency
- Transforming data
  • 1. Applying data processing logic
  • 2. Optimizing transformations for performance
  • 3. Managing schema evolution
Topic 4: Designing data processing systems24%- Designing data pipelines
  • 1. Defining architecture for batch and streaming processing
  • 2. Planning for data migration and integration
  • 3. Designing for data transformation and enrichment
- Planning data solutions
  • 1. Designing for reliability, scalability, and efficiency
  • 2. Planning for data security and compliance
  • 3. Selecting appropriate storage solutions
Topic 5: Storing and managing data20%- Optimizing storage performance and cost
  • 1. Implementing cost optimization strategies
  • 2. Configuring storage for access patterns
- Implementing storage solutions
  • 1. Designing data warehouses and data lakes
  • 2. Using data storage services appropriately
  • 3. Managing data lifecycle and retention

Google Data Engineer Sample Questions:

Question #1

Which of the following statements is NOT true regarding Bigtable access roles?

  • A. Using IAM roles, you cannot give a user access to only one table in a project, rather than all tables in a project.
  • B. You can configure access control only at the project level.
  • C. To give a user access to only one table in a project, you must configure access through your application.
  • D. To give a user access to only one table in a project, grant the user the Bigtable Editor role for that table.
Answer: D

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Question #2

You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

  • A. Use Cloud Vision API by providing custom labels as recognition hints.
  • B. Use Cloud Vision AutoML with the existing dataset.
  • C. Train your own image recognition model leveraging transfer learning techniques.
  • D. Use Cloud Vision AutoML, but reduce your dataset twice.
Answer: B
Question #3

You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

  • A. BigQuery
  • B. Cloud SQL
  • C. Cloud Datastore
  • D. Cloud Bigtable
Answer: A
Question #4

Which of the following is NOT true about Dataflow pipelines?

  • A. Dataflow pipelines use a unified programming model, so can work both with streaming and batch data sources
  • B. Dataflow pipelines can consume data from other Google Cloud services
  • C. Dataflow pipelines can be programmed in Java
  • D. Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner
Answer: D

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Question #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. Sink API
  • B. ParDo
  • C. Source API
  • D. Data extraction
Answer: B

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