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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
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
          Designing data processing systems20%- Storage and data modeling
          • 1. Data lake architecture on Google Cloud Storage
            • 2. Data warehouse design using BigQuery
              - Data pipeline architecture design
              • 1. Scalable data ingestion design
                • 2. Batch vs streaming data processing selection
                  Operationalizing data and ML pipelines30%- Pipeline automation and orchestration
                  • 1. Scheduling and monitoring pipelines
                    • 2. Cloud Composer workflows
                      - Monitoring and troubleshooting
                      • 1. Performance optimization and debugging
                        • 2. Logging and observability
                          Building and operationalizing data processing systems30%- Data ingestion and transformation
                          • 1. ETL/ELT workflows
                            • 2. Pub/Sub streaming ingestion
                              - Data pipeline implementation
                              • 1. Dataproc and Spark-based processing
                                • 2. Dataflow pipeline development

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                                  Google Data Engineer Sample Questions (Q45-Q50):

                                  NEW QUESTION # 45
                                  All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

                                  Answer: A

                                  Explanation:
                                  In a Cloud Bigtable architecture all client requests go through a front-end server before they are sent to a Cloud Bigtable node.
                                  The nodes are organized into a Cloud Bigtable cluster, which belongs to a Cloud Bigtable instance, which is a container for the cluster. Each node in the cluster handles a subset of the requests to the cluster.
                                  When additional nodes are added to a cluster, you can increase the number of simultaneous requests that the cluster can handle, as well as the maximum throughput for the entire cluster.
                                  Reference: https://cloud.google.com/bigtable/docs/overview


                                  NEW QUESTION # 46
                                  You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

                                  Answer: K


                                  NEW QUESTION # 47
                                  You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
                                  Which Google database service should you use?

                                  Answer: A


                                  NEW QUESTION # 48
                                  You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

                                  Answer: A,C


                                  NEW QUESTION # 49
                                  You are designing storage for two relational tables that are part of a 10-TB database on Google Cloud. You want to support transactions that scale horizontally. You also want to optimize data for range queries on nonkey columns. What should you do?

                                  Answer: C

                                  Explanation:
                                  Reference: https://cloud.google.com/solutions/data-lifecycle-cloud-platform


                                  NEW QUESTION # 50
                                  ......

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