ADP Exam Torrent & ADP Study Questions & ADP Valid Pdf

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Processing and Analytics20-30%- Apply statistical methods for analysis
- Build and maintain data pipelines
- Aggregate and summarize data
- Query and analyze datasets
- Use BigQuery and SQL for analytics
Data-Driven Decision Making10-20%- Translate business requirements into data solutions
- Assess data quality and completeness
- Define success metrics
- Identify stakeholders and requirements
Data Visualization and Insights20-30%- Choose appropriate visualization types
- Present data insights to stakeholders
- Interpret and communicate findings
- Build visualizations using Looker Studio
- Create dashboards and reports
Data Preparation and Exploration20-30%- Perform exploratory data analysis (EDA)
- Ingest and acquire data
- Transform and prepare data for analysis
- Identify data quality issues
- Explore data through visualization and queries

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Google Associate Data Practitioner Sample Questions (Q51-Q56):

NEW QUESTION # 51
You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
1. Audio files from phone interactions with support agents that will be accessed during trainings.
2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
3. A large volume of small document files that will power other applications.
You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?

Answer: A


NEW QUESTION # 52
You need to create a new data pipeline. You want a serverless solution that meets the following requirements:
* Data is streamed from Pub/Sub and is processed in real-time.
* Data is transformed before being stored.
* Data is stored in a location that will allow it to be analyzed with SQL using Looker.
Which Google Cloud services should you recommend for the pipeline?

Answer: B


NEW QUESTION # 53
You manage a Cloud Storage bucket that stores temporary files created during data processing. These temporary files are only needed for seven days, after which they are no longer needed. To reduce storage costs and keep your bucket organized, you want to automatically delete these files once they are older than seven days. What should you do?

Answer: C


NEW QUESTION # 54
Your data science team needs to collaboratively analyze a 25 TB BigQuery dataset to support the development of a machine learning model. You want to use Colab Enterprise notebooks while ensuring efficient data access and minimizing cost. What should you do?

Answer: C


NEW QUESTION # 55
Your organization has a petabyte of application logs stored as Parquet files in Cloud Storage. You need to quickly perform a one- time SQL-based analysis of the files and join them to data that already resides in BigQuery. What should you do?

Answer: C


NEW QUESTION # 56
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