High Pass-Rate ADP Valid Exam Guide - Pass ADP Exam

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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q12-Q17):

NEW QUESTION # 12
You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

A. Use Cloud Run functions to transform and load the data into BigQuery.
B. Use Dataflow to transform the data and write the transformed data to BigQuery.
C. Use Cloud Data Fusion to transfer the data into BigQuery raw tables, and use SQL to transform it.
D. Manually download the data from Cloud Storage. Use a Python script to transform and upload the data into BigQuery.

Answer: B

NEW QUESTION # 13
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. Enable Object Versioning.
B. Set temporary object holds.
C. Change the bucket storage class to Archive.
D. Set a bucket retention policy.

Answer: D

NEW QUESTION # 14
You recently inherited a task for managing Dataflow streaming pipelines in your organization and noticed that proper access had not been provisioned to you. You need to request a Google-provided IAM role so you can restart the pipelines. You need to follow the principle of least privilege. What should you do?

A. Request the Dataflow Developer role.
B. Request the Dataflow Worker role.
C. Request the Dataflow Viewer role.
D. Request the Dataflow Admin role.

Answer: A

NEW QUESTION # 15
You are working with a small dataset in Cloud Storage that needs to be transformed and loaded into BigQuery for analysis. The transformation involves simple filtering and aggregation operations. You want to use the most efficient and cost-effective data manipulation approach. What should you do?

A. Use BigQuery's SQL capabilities to load the data from Cloud Storage, transform it, and store the results in a new BigQuery table.
B. Use Dataproc to create an Apache Hadoop cluster, perform the ETL process using Apache Spark, and load the results into BigQuery.
C. Create a Cloud Data Fusion instance and visually design an ETL pipeline that reads data from Cloud Storage, transforms it using built-in transformations, and loads the results into BigQuery.
D. Use Dataflow to perform the ETL process that reads the data from Cloud Storage, transforms it using Apache Beam, and writes the results to BigQuery.

Answer: A

NEW QUESTION # 16
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 Compute Engine.
B. Migrate the Spark jobs to Dataproc Serverless.
C. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
D. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.

Answer: B

NEW QUESTION # 17
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