GCP-DE熱門題庫,GCP-DE測試引擎

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Google GCP-DE Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
          Topic 2: 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 3: Building and operationalizing data processing systems30%- Data pipeline implementation
                  • 1. Dataproc and Spark-based processing
                    • 2. Dataflow pipeline development
                      - Data ingestion and transformation
                      • 1. Pub/Sub streaming ingestion
                        • 2. ETL/ELT workflows
                          Topic 4: Operationalizing data and ML pipelines30%- Monitoring and troubleshooting
                          • 1. Performance optimization and debugging
                            • 2. Logging and observability
                              - Pipeline automation and orchestration
                              • 1. Cloud Composer workflows
                                • 2. Scheduling and monitoring pipelines

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                                  GCP-DE測試引擎 & 免費下載GCP-DE考題

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                                  最新的 Google Cloud Certified GCP-DE 免費考試真題 (Q51-Q56):

                                  問題 #51
                                  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.)

                                  答案:D,E


                                  問題 #52
                                  You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

                                  答案:K


                                  問題 #53
                                  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.)

                                  答案:B,E


                                  問題 #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?

                                  答案:F

                                  解題說明:
                                  Reference: https://cloud.google.com/solutions/data-lifecycle-cloud-platform


                                  問題 #55
                                  You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

                                  答案:B


                                  問題 #56
                                  ......

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