ADP exam preparation, real Google test dumps for Associate Data Practitioner

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Google ADP Exam Syllabus Topics:

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

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Google Associate Data Practitioner Sample Questions (Q55-Q60):

NEW QUESTION # 55
You are migrating data from a legacy on-premises MySQL database to Google Cloud. The database contains various tables with different data types and sizes, including large tables with millions of rows and transactional dat a. You need to migrate this data while maintaining data integrity, and minimizing downtime and cost. What should you do?

A. Set up a Cloud Composer environment to orchestrate a custom data pipeline. Use a Python script to extract data from the MySQL database and load it to MySQL on Compute Engine.
B. Use Database Migration Service to replicate the MySQL database to a Cloud SQL for MySQL instance.
C. Export the MySQL database to CSV files, transfer the files to Cloud Storage by using Storage Transfer Service, and load the files into a Cloud SQL for MySQL instance.
D. Use Cloud Data Fusion to migrate the MySQL database to MySQL on Compute Engine.

Answer: B

NEW QUESTION # 56
Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization's storage costs. You want to use the most efficient approach while minimizing cost. What should you do?

A. Create a scheduled query that periodically runs an update statement in SQL that sets the "deleted" column to "yes" for data that is more than one year old. Create a view that filters out rows that have been marked deleted.
B. Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.
C. Require users to specify a partition filter using the alter table statement in SQL.
D. Create a view that filters out rows that are older than one year.

Answer: B

NEW QUESTION # 57
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 the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the -- daisy-chain option.
B. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
C. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
D. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.

Answer: D

NEW QUESTION # 58
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 Dataproc workflow templates to define and schedule the Spark job, and to email the report.
B. Use Cloud Composer to orchestrate the Spark job and email the report.
C. Use Cloud Scheduler to trigger the Spark job. and use Cloud Run functions to email the report.
D. Use Cloud Run functions to trigger the Spark job and email the report.

Answer: A

NEW QUESTION # 59
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?

A. Filestore Bigtable BigQuery
B. Cloud Storage CloudSQL for PostgreSQL Bigtable
C. Cloud Storage BigQuery Firestore
D. Filestore Cloud SQL for PostgreSQL Datastore

Answer: C

NEW QUESTION # 60
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