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Google GCP-DE Exam Syllabus Topics:

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

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                                  Google Data Engineer Sample Questions (Q20-Q25):

                                  NEW QUESTION # 20
                                  Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

                                  Answer: A,B,C

                                  Explanation:
                                  Cloud Dataproc provides out-of-the box and end-to-end support for many of the most popular job types, including Spark, Spark SQL, PySpark, MapReduce, Hive, and Pig jobs.
                                  Reference: https://cloud.google.com/dataproc/docs/resources/faq#what_type_of_jobs_can_i_run


                                  NEW QUESTION # 21
                                  Your company is loading comma-separated values (CSV) files into Google BigQuery. The data is fully imported successfully; however, the imported data is not matching byte-to-byte to the source file. What is the most likely cause of this problem?

                                  Answer: D


                                  NEW QUESTION # 22
                                  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?

                                  Answer: D


                                  NEW QUESTION # 23
                                  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?

                                  Answer: B


                                  NEW QUESTION # 24
                                  You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
                                  The user profile: What the user likes and doesn't like to eat
                                  The user account information: Name, address, preferred meal times
                                  The order information: When orders are made, from where, to whom
                                  The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

                                  Answer: D


                                  NEW QUESTION # 25
                                  ......

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