Latest GCP-DE Dumps Ppt - Latest GCP-DE Test Questions

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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
                  Topic 3: Maintaining and optimizing data and ML solutions20%- Security and governance
                  • 1. Data encryption and compliance
                    • 2. IAM and access control
                      - Machine learning integration
                      • 1. Vertex AI integration for pipelines
                        • 2. BigQuery ML usage
                          Topic 4: 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

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                                  Latest GCP-DE Test Questions | Examcollection GCP-DE Dumps Torrent

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                                  Google Data Engineer Sample Questions (Q54-Q59):

                                  NEW QUESTION # 54
                                  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: A

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


                                  NEW QUESTION # 55
                                  You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

                                  Answer: K


                                  NEW QUESTION # 56
                                  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 # 57
                                  What are the minimum permissions needed for a service account used with Google Dataproc?

                                  Answer: B

                                  Explanation:
                                  Service accounts authenticate applications running on your virtual machine instances to other Google Cloud Platform services. For example, if you write an application that reads and writes files on Google Cloud Storage, it must first authenticate to the Google Cloud Storage API. At a minimum, service accounts used with Cloud Dataproc need permissions to read and write to Google Cloud Storage, and to write to Google Cloud Logging.
                                  Reference: https://cloud.google.com/dataproc/docs/concepts/service-accounts#important_notes


                                  NEW QUESTION # 58
                                  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?

                                  Answer: D

                                  Explanation:
                                  In Google Cloud dataflow SDK, you can use the ParDo to extract only a customer name of each element in your PCollection.
                                  Reference: https://cloud.google.com/dataflow/model/par-do


                                  NEW QUESTION # 59
                                  ......

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