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Google GCP-DE Exam Syllabus Topics:

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

Google Data Engineer Sample Questions:

1. 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


2. All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

A) only if
B) after
C) once
D) before


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


4. For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
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 Compute Engine instance in the furthest zone from the Cloud Bigtable instance.


5. You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

A) Cloud Datastore
B) Cloud Bigtable
C) Cloud SQL
D) Cloud Spanner


Solutions:

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

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