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Google ADP Exam Syllabus Topics:

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

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                        Google Associate Data Practitioner Sample Questions (Q15-Q20):

                        NEW QUESTION # 15
                        You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
                        You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

                        Answer: D


                        NEW QUESTION # 16
                        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: B


                        NEW QUESTION # 17
                        You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage.
                        The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?

                        Answer: B


                        NEW QUESTION # 18
                        You need to create a data pipeline that streams event information from applications in multiple Google Cloud regions into BigQuery for near real-time analysis. The data requires transformation before loading. You want to create the pipeline using a visual interface. What should you do?

                        Answer: B


                        NEW QUESTION # 19
                        Your company is building a near real-time streaming pipeline to process JSON telemetry data from small appliances. You need to process messages arriving at a Pub/Sub topic, capitalize letters in the serial number field, and write results to BigQuery. You want to use a managed service and write a minimal amount of code for underlying transformations. What should you do?

                        Answer: D


                        NEW QUESTION # 20
                        ......

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