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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Analysis and Presentation27%- Querying and analyzing data
  • 1. Data aggregation and transformation
    • 2. BigQuery SQL usage
      - Data visualization
      • 1. Looker / Looker Studio reporting
        Topic 2: Data Pipeline Orchestration18%- Pipeline design and automation
        • 1. Workflow orchestration concepts (e.g., Cloud Composer)
          • 2. Dataflow pipelines
            Topic 3: Data Management25%- Storage and data organization
            • 1. Cloud Storage lifecycle policies
              • 2. BigQuery datasets and tables management
                - Data governance and security
                • 1. IAM and access control
                  • 2. Data lifecycle management
                    Topic 4: Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
                    • 1. Cloud Storage ingestion patterns
                      • 2. Streaming ingestion with Pub/Sub concepts

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                        Google Associate Data Practitioner Sample Questions (Q14-Q19):

                        NEW QUESTION # 14
                        Your data science team needs to collaboratively analyze a 25 TB BigQuery dataset to support the development of a machine learning model. You want to use Colab Enterprise notebooks while ensuring efficient data access and minimizing cost. What should you do?

                        Answer: A


                        NEW QUESTION # 15
                        You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?

                        Answer: A


                        NEW QUESTION # 16
                        Your organization uses scheduled queries to perform transformations on data stored in BigQuery. You discover that one of your scheduled queries has failed. You need to troubleshoot the issue as quickly as possible. What should you do?

                        Answer: D


                        NEW QUESTION # 17
                        You are designing a BigQuery data warehouse with a team of experienced SQL developers. You need to recommend a cost- effective, fully-managed, serverless solution to build ELT processes with SQL pipelines.
                        Your solution must include source code control, environment parameterization, and data quality checks. What should you do?

                        Answer: D


                        NEW QUESTION # 18
                        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 # 19
                        ......

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