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Google GCP-DE valid - in .pdf

GCP-DE pdf
  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Q & A: 77 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Q & A: 77 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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GCP-DE Testing Engine
  • Exam Code: GCP-DE
  • Exam Name: Data Engineer
  • Q & A: 77 Questions and Answers
  • Software Price: $59.99
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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Designing data processing systems22%-27%- Designing data pipelines
  • 1. Optimize pipeline performance and cost
  • 2. Build ETL and ELT pipelines
  • 3. Design orchestration workflows
- Designing for data ingestion
  • 1. Select appropriate storage systems
  • 2. Design batch and streaming ingestion solutions
  • 3. Design scalable and reliable ingestion architecture
Topic 2: Ensuring solution quality20%-25%- Security and compliance
  • 1. Manage IAM and access control
  • 2. Protect sensitive data
  • 3. Implement encryption and compliance controls
- Data quality management
  • 1. Maintain metadata and lineage
  • 2. Implement data governance
  • 3. Validate and clean data
Topic 3: Managing and optimizing solutions20%-25%- Managing resources and costs
  • 1. Tune query and pipeline performance
  • 2. Optimize storage and compute usage
  • 3. Control operational costs
- Reliability and scalability
  • 1. Implement disaster recovery strategies
  • 2. Scale data workloads efficiently
  • 3. Design highly available systems
Topic 4: Building and operationalizing data processing systems28%-33%- Operationalizing systems
  • 1. Monitor data pipelines and workloads
  • 2. Implement fault tolerance and recovery
  • 3. Manage logging and alerting
- Building data processing systems
  • 1. Use BigQuery, Dataflow, Pub/Sub, Dataproc and related services
  • 2. Implement batch processing systems
  • 3. Implement streaming data systems

Google Data Engineer Sample Questions:

1. You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A) Create an API using App Engine to receive and send messages to the applications
B) Create a table on Cloud SQL, and insert and delete rows with the job information
C) Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
D) Create a table on Cloud Spanner, and insert and delete rows with the job information


2. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 100 MB of data
B) Windows at every 10 minutes
C) Single, Global Window
D) Windows at every 1 minute


3. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Blaze
B) Ignite
C) Spark
D) Fire


4. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A) HTTPS
B) VPN
C) SOCKS
D) HTTP


5. You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?

A) Cloud Datastore
B) BigQuery
C) Cloud Bigtable
D) Cloud SQL for PostgreSQL


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: C
Question # 4
Answer: C
Question # 5
Answer: B

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