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Google ADP Exam Syllabus Topics:

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

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                        Google Associate Data Practitioner Sample Questions (Q12-Q17):

                        NEW QUESTION # 12
                        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 # 13
                        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: D


                        NEW QUESTION # 14
                        You are working with a small dataset in Cloud Storage that needs to be transformed and loaded into BigQuery for analysis. The transformation involves simple filtering and aggregation operations. You want to use the most efficient and cost-effective data manipulation approach. What should you do?

                        Answer: B


                        NEW QUESTION # 15
                        You are working with a large dataset of customer reviews stored in Cloud Storage. The dataset contains several inconsistencies, such as missing values, incorrect data types, and duplicate entries. You need toclean the data to ensure that it is accurate and consistent before using it for analysis. What should you do?

                        Answer: A


                        NEW QUESTION # 16
                        Your company uses Looker to visualize and analyze sales dat
                        a. You need to create a dashboard that displays sales metrics, such as sales by region, product category, and time period. Each metric relies on its own set of attributes distributed across several tables. You need to provide users the ability to filter the data by specific sales representatives and view individual transactions. You want to follow the Google-recommended approach. What should you do?

                        Answer: A


                        NEW QUESTION # 17
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