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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Visualization and Insights20-30%- Present data insights to stakeholders
- Create dashboards and reports
- Choose appropriate visualization types
- Build visualizations using Looker Studio
- Interpret and communicate findings
Topic 2: Data-Driven Decision Making10-20%- Translate business requirements into data solutions
- Assess data quality and completeness
- Define success metrics
- Identify stakeholders and requirements
Topic 3: Data Preparation and Exploration20-30%- Ingest and acquire data
- Transform and prepare data for analysis
- Identify data quality issues
- Explore data through visualization and queries
- Perform exploratory data analysis (EDA)
Topic 4: Data Processing and Analytics20-30%- Build and maintain data pipelines
- Apply statistical methods for analysis
- Aggregate and summarize data
- Query and analyze datasets
- Use BigQuery and SQL for analytics

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Google Associate Data Practitioner Sample Questions (Q38-Q43):

NEW QUESTION # 38
Your organization has a petabyte of application logs stored as Parquet files in Cloud Storage. You need to quickly perform a one- time SQL-based analysis of the files and join them to data that already resides in BigQuery. What should you do?

Answer: B


NEW QUESTION # 39
Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?

Answer: C


NEW QUESTION # 40
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 # 41
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: C


NEW QUESTION # 42
You need to create a new data pipeline. You want a serverless solution that meets the following requirements:
* Data is streamed from Pub/Sub and is processed in real-time.
* Data is transformed before being stored.
* Data is stored in a location that will allow it to be analyzed with SQL using Looker.
Which Google Cloud services should you recommend for the pipeline?

Answer: A


NEW QUESTION # 43
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