Latest GCP-DE Study Guide & VCE GCP-DE Dumps

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Google GCP-DE Exam Syllabus Topics:

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

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                                  VCE GCP-DE Dumps | Standard GCP-DE Answers

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                                  Google Data Engineer Sample Questions (Q49-Q54):

                                  NEW QUESTION # 49
                                  MJTelco is building a custom interface to share dat
                                  a. They have these requirements:
                                  They need to do aggregations over their petabyte-scale datasets.
                                  They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

                                  Answer: C


                                  NEW QUESTION # 50
                                  You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

                                  Answer: D


                                  NEW QUESTION # 51
                                  What is the general recommendation when designing your row keys for a Cloud Bigtable schema?

                                  Answer: A

                                  Explanation:
                                  A general guide is to, keep your row keys reasonably short. Long row keys take up additional memory and storage and increase the time it takes to get responses from the Cloud Bigtable server.
                                  Reference: https://cloud.google.com/bigtable/docs/schema-design#row-keys


                                  NEW QUESTION # 52
                                  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: C


                                  NEW QUESTION # 53
                                  What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

                                  Answer: B

                                  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 # 54
                                  ......

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