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Google ADP Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Preparation and Exploration	20-30%	- Explore data through visualization and queries - Ingest and acquire data - Transform and prepare data for analysis - Perform exploratory data analysis (EDA) - Identify data quality issues
Topic 2: Data-Driven Decision Making	10-20%	- Identify stakeholders and requirements - Assess data quality and completeness - Define success metrics - Translate business requirements into data solutions
Topic 3: Data Visualization and Insights	20-30%	- Interpret and communicate findings - Present data insights to stakeholders - Choose appropriate visualization types - Create dashboards and reports - Build visualizations using Looker Studio
Topic 4: Data Processing and Analytics	20-30%	- Apply statistical methods for analysis - Query and analyze datasets - Use BigQuery and SQL for analytics - Build and maintain data pipelines - Aggregate and summarize data

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Google Associate Data Practitioner Sample Questions (Q61-Q66):

NEW QUESTION # 61
You need to create a weekly aggregated sales report based on a large volume of data. You want to use Python to design an efficient process for generating this report. What should you do?

A. Create a Cloud Data Fusion and Wrangler flow. Schedule the flow to run once a week.
B. Create a Colab Enterprise notebook and use the bigframes.pandas library. Schedule the notebook to execute once a week.
C. Create a Cloud Run function that uses NumPy. Use Cloud Scheduler to schedule the function to run once a week.
D. Create a Dataflow directed acyclic graph (DAG) coded in Python. Use Cloud Scheduler to schedule the code to run once a week.

Answer: D

NEW QUESTION # 62
Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?

A. Use a Transfer Appliance.
B. Use Storage Transfer Service.
C. Use gcloud storage commands.
D. Use Cloud Storage FUSE.

Answer: B

NEW QUESTION # 63
Your company has an on-premises file server with 5 TB of data that needs to be migrated to Google Cloud.
The network operations team has mandated that you can only use up to 250 Mbps of the total available bandwidth for the migration. You need to perform an online migration to Cloud Storage. What should you do?

A. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the -- daisy-chain option.
B. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
C. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
D. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.

Answer: C

NEW QUESTION # 64
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?

A. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.
B. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
C. Migrate the Spark jobs to Dataproc on Compute Engine.
D. Migrate the Spark jobs to Dataproc Serverless.

Answer: D

NEW QUESTION # 65
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 derived table that pre-calculates the profit margin for each product, and include it in the Looker model.
B. Create a new dimension that categorizes products based on their profit margin ranges (e.g., high, medium, low).
C. Define a new measure that calculates the profit margin by using the existing revenue and cost fields.
D. Apply a filter to only show products with a positive profit margin.

Answer: C

NEW QUESTION # 66
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