ADP Certification Training: Associate Data Practitioner & ADP Study Guide & ADP Exam Bootcamp

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Management25%- Data governance and security
  • 1. Data lifecycle management
    • 2. IAM and access control
      - Storage and data organization
      • 1. Cloud Storage lifecycle policies
        • 2. BigQuery datasets and tables management
          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 Pipeline Orchestration18%- Pipeline design and automation
                • 1. Workflow orchestration concepts (e.g., Cloud Composer)
                  • 2. Dataflow pipelines
                    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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                        ADP Exam Engine, ADP New Study Questions

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                        Google Associate Data Practitioner Sample Questions (Q20-Q25):

                        NEW QUESTION # 20
                        You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
                        1. Audio files from phone interactions with support agents that will be accessed during trainings.
                        2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
                        3. A large volume of small document files that will power other applications.
                        You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?

                        Answer: C


                        NEW QUESTION # 21
                        You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re- run risk reports when new data becomes available. What should you do?

                        Answer: B


                        NEW QUESTION # 22
                        You need to design a data pipeline to process large volumes of raw server log data stored in Cloud Storage.
                        The data needs to be cleaned, transformed, and aggregated before being loaded into BigQuery for analysis.
                        The transformation involves complex data manipulation using Spark scripts that your team developed. You need to implement a solution that leverages your team's existing skillset, processes data at scale, and minimizes cost. What should you do?

                        Answer: D


                        NEW QUESTION # 23
                        Your organization is conducting analysis on regional sales metrics. Data from each regional sales team is stored as separate tables in BigQuery and updated monthly. You need to create a solution that identifies the top three regions with the highest monthly sales for the next three months. You want the solution to automatically provide up-to-date results. What should you do?

                        Answer: B


                        NEW QUESTION # 24
                        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: C


                        NEW QUESTION # 25
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