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Google ADP Exam Syllabus Topics:

Section	Weight	Objectives
Data Processing and Analytics	20-30%	- Apply statistical methods for analysis - Query and analyze datasets - Aggregate and summarize data - Use BigQuery and SQL for analytics - Build and maintain data pipelines
Data-Driven Decision Making	10-20%	- Translate business requirements into data solutions - Assess data quality and completeness - Define success metrics - Identify stakeholders and requirements
Data Preparation and Exploration	20-30%	- Transform and prepare data for analysis - Ingest and acquire data - Explore data through visualization and queries - Perform exploratory data analysis (EDA) - Identify data quality issues
Data Visualization and Insights	20-30%	- Build visualizations using Looker Studio - Choose appropriate visualization types - Present data insights to stakeholders - Interpret and communicate findings - Create dashboards and reports

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Google Associate Data Practitioner Sample Questions (Q16-Q21):

NEW QUESTION # 16
Your organization has highly sensitive data that gets updated once a day and is stored across multiple datasets in BigQuery. You need to provide a new data analyst access to query specific data in BigQuery while preventing access to sensitive dat a. What should you do?

A. Create a materialized view with the limited data in a new dataset. Grant the data analyst BigQuery Data Viewer IAM role in the dataset and the BigQuery Job User IAM role in the Google Cloud project.
B. Grant the data analyst the BigQuery Data Viewer IAM role in the Google Cloud project.
C. Grant the data analyst the BigQuery Job User IAM role in the Google Cloud project.
D. Create a new Google Cloud project, and copy the limited data into a BigQuery table. Grant the data analyst the BigQuery Data Owner IAM role in the new Google Cloud project.

Answer: A

NEW QUESTION # 17
You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

A. Enable access control by using IAM roles.
B. Export the data to Cloud Storage, and use signed URLs to authorize access.
C. Encrypt the data by using customer-managed encryption keys (CMEK).
D. Update dataset privileges by using the SQL GRANT statement.

Answer: A

NEW QUESTION # 18
Your company uses Looker as its primary business intelligence platform. You want to use LookML to visualize the profit margin for each of your company's products in your Looker Explores and dashboards.
You need to implement a solution quickly and efficiently. What should you do?

A. Create a new dimension that categorizes products based on their profit margin ranges (e.g., high, medium, low).
B. Create a derived table that pre-calculates the profit margin for each product, and include it in the Looker model.
C. Apply a filter to only show products with a positive profit margin.
D. Define a new measure that calculates the profit margin by using the existing revenue and cost fields.

Answer: D

NEW QUESTION # 19
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?

A. Create a separate project for each partner and copy the dataset into each project. Publish each dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
B. Publish the dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
C. Create a separate Cloud Storage bucket for each partner. Export the dataset to each bucket and assign each partner to their respective bucket. Grant bucket-level access by using 1AM roles.
D. Grant each partner read access to the BigQuery dataset by using 1AM roles.

Answer: B

NEW QUESTION # 20
Your organization has several datasets in their data warehouse in BigQuery. Several analyst teams in different departments use the datasets to run queries. Your organization is concerned about the variability of their monthly BigQuery costs. You need to identify a solution that creates a fixed budget for costs associated with the queries run by each department. What should you do?

A. Create a custom quota for each analyst in BigQuery.
B. Assign each analyst to a separate project associated with their department. Create a single reservation by using BigQuery editions. Assign all projects to the reservation.
C. Create a single reservation by using BigQuery editions. Assign all analysts to the reservation.
D. Assign each analyst to a separate project associated with their department. Create a single reservation for each department by using BigQuery editions. Create assignments for each project in the appropriate reservation.

Answer: D

NEW QUESTION # 21
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