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Google GCP-DE Exam Syllabus Topics:

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

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                                  Google Data Engineer Sample Questions (Q52-Q57):

                                  NEW QUESTION # 52
                                  You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

                                  Answer: E


                                  NEW QUESTION # 53
                                  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 # 54
                                  You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

                                  Answer: C

                                  Explanation:
                                  In Google Cloud, the Dataflow SDK provides a transform component. It is responsible for the data processing operation. You can use conditional, for loops, and other complex programming structure to create a branching pipeline.
                                  Reference: https://cloud.google.com/dataflow/model/programming-model


                                  NEW QUESTION # 55
                                  Which of the following statements is NOT true regarding Bigtable access roles?

                                  Answer: D

                                  Explanation:
                                  For Cloud Bigtable, you can configure access control at the project level. For example, you can grant the ability to:
                                  Read from, but not write to, any table within the project.
                                  Read from and write to any table within the project, but not manage instances. Read from and write to any table within the project, and manage instances. Reference: https://cloud.google.com/bigtable/docs/access-control


                                  NEW QUESTION # 56
                                  What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

                                  Answer: A

                                  Explanation:
                                  Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
                                  Reference:
                                  https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/transforms/windowing/Tri


                                  NEW QUESTION # 57
                                  ......

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