GCP-DE Exam Fragen - GCP-DE Testking

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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. Dataproc and Spark-based processing
        • 2. Dataflow pipeline development
          Maintaining and optimizing data and ML solutions20%- Machine learning integration
          • 1. BigQuery ML usage
            • 2. Vertex AI integration for pipelines
              - Security and governance
              • 1. IAM and access control
                • 2. Data encryption and compliance
                  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
                          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 warehouse design using BigQuery
                                • 2. Data lake architecture on Google Cloud Storage

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                                  Google Data Engineer GCP-DE Prüfungsfragen mit Lösungen (Q54-Q59):

                                  54. Frage
                                  You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

                                  Antwort: B


                                  55. Frage
                                  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?

                                  Antwort: B


                                  56. Frage
                                  Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

                                  Antwort: B

                                  Begründung:
                                  When collecting and grouping data into windows, Beam uses triggers to determine when to emit the aggregated results of each window.
                                  Processing time triggers. These triggers operate on the processing time - the time when the data element is processed at any given stage in the pipeline. Event time triggers. These triggers operate on the event time, as indicated by the timestamp on each data element. Beam's default trigger is event time-based.
                                  Reference: https://beam.apache.org/documentation/programming-guide/#triggers


                                  57. Frage
                                  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?

                                  Antwort: D


                                  58. Frage
                                  Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.
                                  You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)

                                  Antwort: A,D


                                  59. Frage
                                  ......

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