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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Maintaining and optimizing data and ML solutions20%- Security and governance
  • 1. Data encryption and compliance
    • 2. IAM and access control
      - Machine learning integration
      • 1. BigQuery ML usage
        • 2. Vertex AI integration for pipelines
          Topic 2: Designing data processing systems20%- Data pipeline architecture design
          • 1. Batch vs streaming data processing selection
            • 2. Scalable data ingestion design
              - Storage and data modeling
              • 1. Data lake architecture on Google Cloud Storage
                • 2. Data warehouse design using BigQuery
                  Topic 3: Operationalizing data and ML pipelines30%- Monitoring and troubleshooting
                  • 1. Logging and observability
                    • 2. Performance optimization and debugging
                      - Pipeline automation and orchestration
                      • 1. Cloud Composer workflows
                        • 2. Scheduling and monitoring pipelines
                          Topic 4: Building and operationalizing data processing systems30%- Data pipeline implementation
                          • 1. Dataproc and Spark-based processing
                            • 2. Dataflow pipeline development
                              - Data ingestion and transformation
                              • 1. Pub/Sub streaming ingestion
                                • 2. ETL/ELT workflows

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                                  Google Data Engineer Sample Questions (Q50-Q55):

                                  NEW QUESTION # 50
                                  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?

                                  Answer: G


                                  NEW QUESTION # 51
                                  You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?

                                  Answer: B


                                  NEW QUESTION # 52
                                  When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

                                  Answer: B

                                  Explanation:
                                  When using Cloud Dataproc clusters, configure your browser to use the SOCKS proxy. The SOCKS proxy routes data intended for the Cloud Dataproc cluster through an SSH tunnel.
                                  Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-web-interfaces#interfaces


                                  NEW QUESTION # 53
                                  You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

                                  Answer: I


                                  NEW QUESTION # 54
                                  Cloud Dataproc is a managed Apache Hadoop and Apache service.

                                  Answer: B

                                  Explanation:
                                  Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you use open source data tools for batch processing, querying, streaming, and machine learning.
                                  Reference: https://cloud.google.com/dataproc/docs/


                                  NEW QUESTION # 55
                                  ......

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