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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q57-Q62):

NEW QUESTION # 57
Your organization needs to store historical customer order dat
a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?

A. Store the data in Cloud Storage using Archive storage.
B. Store the data in Cloud Storage using Coldline storage.
C. Store the data in Cloud Storage using Standard storage.
D. Store the data in Cloud Storage using Nearline storage.

Answer: D

NEW QUESTION # 58
You are designing a BigQuery data warehouse with a team of experienced SQL developers. You need to recommend a cost- effective, fully-managed, serverless solution to build ELT processes with SQL pipelines.
Your solution must include source code control, environment parameterization, and data quality checks. What should you do?

A. Use Cloud Composer to orchestrate and run data workflows.
B. Use Cloud Data Fusion to visually design and manage the pipelines.
C. Use Dataproc to run MapReduce jobs for distributed data processing.
D. Use Dataform to build, orchestrate, and monitor the pipelines.

Answer: D

NEW QUESTION # 59
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 Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
B. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
C. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
D. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the -- daisy-chain option.

Answer: A

NEW QUESTION # 60
You need to create a data pipeline that streams event information from applications in multiple Google Cloud regions into BigQuery for near real-time analysis. The data requires transformation before loading. You want to create the pipeline using a visual interface. What should you do?

A. Push event information to a Pub/Sub topic. Create a Cloud Run function to subscribe to the Pub/Sub topic, apply transformations, and insert the data into BigQuery.
B. Push event information to a Pub/Sub topic. Create a BigQuery subscription in Pub/Sub.
C. Push event information to Cloud Storage, and create an external table in BigQuery. Create a BigQuery scheduled job that executes once each day to apply transformations.
D. Push event information to a Pub/Sub topic. Create a Dataflow job using the Dataflow job builder.

Answer: D

NEW QUESTION # 61
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. Encrypt the data by using customer-managed encryption keys (CMEK).
B. Export the data to Cloud Storage, and use signed URLs to authorize access.
C. Enable access control by using IAM roles.
D. Update dataset privileges by using the SQL GRANT statement.

Answer: C

NEW QUESTION # 62
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