GCP-DE exam dumps

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  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • No. of Questions: 77 Questions and Answers
  • Updated: Aug 06, 2026

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  • Total Questions: 77
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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

1. You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

A) An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
B) An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
C) An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
D) An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination


2. You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A) Use Cloud Dataflow to run your transformation
B) Configure the job to use non-default Compute Engine machine types when needed.
C) Locate the bottleneck and adjust cluster resources.
D) Resize the number of worker nodes in your cluster via the command line.
E) Use Cloud Dataflow to run your transformation
F) Use the default autoscaling setting for worker instances.
G) Use the diagnose command to generate an operational output archiv
H) Monitor CPU utilization for the cluste
I) Monitor the job system lag with Stackdrive
J) Monitor the total execution time for a sampling of job
K) Use Cloud Dataproc to run your transformation
L) Use Cloud Dataproc to run your transformation


3. You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A) In the event of an emergency, use a point-in-time snapshot to recover the data.
B) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
C) Set the BigQuery dataset to be regiona
D) Set the BigQuery dataset to be multi-regional
E) Set the BigQuery dataset to be multi-regional
F) In the event of an emergency, use the backup copy of the table.
G) In the event of an emergency, use the backup copy of the table.
H) Set the BigQuery dataset to be regiona
I) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
J) In the event of an emergency, use a point-in-time snapshot to recover the data.


4. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) Hive
B) YARN
C) Spark
D) Pig


5. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Write to Google Cloud Storage; read to Google Cloud Logging
B) Read and write to Google Cloud Storage; write to Google Cloud Logging
C) Execute to Google Cloud Storage; execute to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging


Solutions:

Question # 1
Answer: D
Question # 2
Answer: H
Question # 3
Answer: A
Question # 4
Answer: A,C,D
Question # 5
Answer: B

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