ADP Latest Exam Duration | Exam ADP Preparation

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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q50-Q55):

NEW QUESTION # 50
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 # 51
Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?

A. Change the bucket storage class to Archive.
B. Set temporary object holds.
C. Set a bucket retention policy.
D. Enable Object Versioning.

Answer: C

NEW QUESTION # 52
You need to transfer approximately 300 TB of data from your company's on-premises data center to Cloud Storage. You have 100 Mbps internet bandwidth, and the transfer needs to be completed as quickly as possible. What should you do?

A. Use Cloud Client Libraries to transfer the data over the internet.
B. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
C. Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
D. Use the gcloud storage command to transfer the data over the internet.

Answer: B

NEW QUESTION # 53
Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?

A. Use Cloud Scheduler to schedule the jobs to run.
B. Create directed acyclic graphs (DAGS) in Apache Airflow deployed on Google Kubernetes Engine. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
C. Create directed acyclic graphs (DAGS) in Cloud Composer. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.
D. Use Cloud Tasks to schedule and run the jobs asynchronously.

Answer: C

NEW QUESTION # 54
Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?

A. Create a dual-region bucket, and upload the files to this bucket.
B. Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.
C. Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.
D. Create a multi-region bucket, and upload the files to this bucket.

Answer: A

NEW QUESTION # 55
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