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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q19-Q24):

NEW QUESTION # 19
Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most recent month of data, and save the results to be used in a Looker Studio dashboard. What should you do?

Answer: A


NEW QUESTION # 20
Your retail company wants to predict customer churn using historical purchase data stored in BigQuery. The dataset includes customer demographics, purchase history, and a label indicating whether the customer churned or not. You want to build a machine learning model to identify customers at risk of churning. You need to create and train a logistic regression model for predicting customer churn, using the customer_data table with the churned column as the target label. Which BigQuery ML query should you use?

Answer: D


NEW QUESTION # 21
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 # 22
Your company's customer support audio files are stored in a Cloud Storage bucket. You plan to analyze the audio files' metadata and file content within BigQuery to create inference by using BigQuery ML. You need to create a corresponding table in BigQuery that represents the bucket containing the audio files. What should you do?

Answer: B


NEW QUESTION # 23
You created a curated dataset of market trends in BigQuery that you want to share with multiple external partners. You want to control the rows and columns that each partner has access to. You want to follow Google-recommended practices. What should you do?

Answer: B


NEW QUESTION # 24
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