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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
  • 1. Streaming ingestion with Pub/Sub concepts
    • 2. Cloud Storage ingestion patterns
      Data Analysis and Presentation27%- Querying and analyzing data
      • 1. Data aggregation and transformation
        • 2. BigQuery SQL usage
          - Data visualization
          • 1. Looker / Looker Studio reporting
            Data Pipeline Orchestration18%- Pipeline design and automation
            • 1. Dataflow pipelines
              • 2. Workflow orchestration concepts (e.g., Cloud Composer)
                Data Management25%- Data governance and security
                • 1. IAM and access control
                  • 2. Data lifecycle management
                    - Storage and data organization
                    • 1. BigQuery datasets and tables management
                      • 2. Cloud Storage lifecycle policies

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                        Google Associate Data Practitioner Sample Questions (Q28-Q33):

                        NEW QUESTION # 28
                        Your company wants to implement a data transformation (ETL) pipeline for their BigQuery data warehouse.
                        You need to identify a managed transformation solution that allows users to develop with SQL and JavaScript, has version control, allows for modular code, and has data quality checks. What should you do?

                        Answer: B


                        NEW QUESTION # 29
                        You are designing a pipeline to process data files that arrive in Cloud Storage by 3:00 am each day. Data processing is performed in stages, where the output of one stage becomes the input of the next. Each stage takes a long time to run. Occasionally a stage fails, and you have to address the problem. You need to ensure that the final output is generated as quickly as possible. What should you do?

                        Answer: B


                        NEW QUESTION # 30
                        Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
                        You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?

                        Answer: D


                        NEW QUESTION # 31
                        You are migrating data from a legacy on-premises MySQL database to Google Cloud. The database contains various tables with different data types and sizes, including large tables with millions of rows and transactional dat a. You need to migrate this data while maintaining data integrity, and minimizing downtime and cost. What should you do?

                        Answer: B


                        NEW QUESTION # 32
                        Your retail company wants to analyze customer reviews to understand sentiment and identify areas for improvement. Your company has a large dataset of customer feedback text stored in BigQuery that includes diverse language patterns, emojis, and slang. You want to build a solution to classify customer sentiment from the feedback text. What should you do?

                        Answer: B


                        NEW QUESTION # 33
                        ......

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