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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q53-Q58):

NEW QUESTION # 53
Your organization has highly sensitive data that gets updated once a day and is stored across multiple datasets in BigQuery. You need to provide a new data analyst access to query specific data in BigQuery while preventing access to sensitive dat a. What should you do?

A. Create a materialized view with the limited data in a new dataset. Grant the data analyst BigQuery Data Viewer IAM role in the dataset and the BigQuery Job User IAM role in the Google Cloud project.
B. Grant the data analyst the BigQuery Job User IAM role in the Google Cloud project.
C. Create a new Google Cloud project, and copy the limited data into a BigQuery table. Grant the data analyst the BigQuery Data Owner IAM role in the new Google Cloud project.
D. Grant the data analyst the BigQuery Data Viewer IAM role in the Google Cloud project.

Answer: A

NEW QUESTION # 54
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. Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
B. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
C. Use Cloud Client Libraries to transfer the data over the internet.
D. Use the gcloud storage command to transfer the data over the internet.

Answer: B

NEW QUESTION # 55
You manage data at an ecommerce company. You have a Dataflow pipeline that processes order data from Pub/Sub, enriches the data with product information from Bigtable, and writes the processed data to BigQuery for analysis. The pipeline runs continuously and processes thousands of orders every minute. You need to monitor the pipeline's performance and be alerted if errors occur. What should you do?

A. Use the Dataflow job monitoring interface to visually inspect the pipeline graph, check for errors, and configure notifications when critical errors occur.
B. Use BigQuery to analyze the processed data in Cloud Storage and identify anomalies or inconsistencies. Set up scheduled alerts based when anomalies or inconsistencies occur.
C. Use Cloud Logging to view the pipeline logs and check for errors. Set up alerts based on specific keywords in the logs.
D. Use Cloud Monitoring to track key metrics. Create alerting policies in Cloud Monitoring to trigger notifications when metrics exceed thresholds or when errors occur.

Answer: D

NEW QUESTION # 56
You have a Dataproc cluster that performs batch processing on data stored in Cloud Storage. You need to schedule a daily Spark job to generate a report that will be emailed to stakeholders. You need a fully-managed solution that is easy to implement and minimizes complexity. What should you do?

A. Use Cloud Run functions to trigger the Spark job and email the report.
B. Use Cloud Scheduler to trigger the Spark job. and use Cloud Run functions to email the report.
C. Use Cloud Composer to orchestrate the Spark job and email the report.
D. Use Dataproc workflow templates to define and schedule the Spark job, and to email the report.

Answer: D

NEW QUESTION # 57
You have created a LookML model and dashboard that shows daily sales metrics for five regional managers to use. You want to ensure that the regional managers can only see sales metrics specific to their region. You need an easy-to-implement solution. What should you do?

A. Create asales_regionuser attribute, and assign each manager's region as the value of their user attribute.
B. Create separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.
C. Create five different Explores with thesql_always_filterExplore filter applied on theregion_namedimension. Set eachregion_namevalue to the corresponding region for each manager.
D. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.

Answer: A

NEW QUESTION # 58
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