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Google ADP Exam Syllabus Topics:

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

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Associate Data Practitioner free download pdf & ADP real practice torrent

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Google Associate Data Practitioner Sample Questions (Q61-Q66):

NEW QUESTION # 61
Following a recent company acquisition, you inherited an on- premises data infrastructure that needs to move to Google Cloud. The acquired system has 250 Apache Airflow directed acyclic graphs (DAGs) orchestrating data pipelines. You need to migrate the pipelines to a Google Cloud managed service with minimal effort. What should you do?

A. Create a Google Kubernetes Engine (GKE) standard cluster and deploy Airflow as a workload. Migrate all DAGs to the new Airflow environment.
B. Create a Cloud Data Fusion instance. For each DAG, create a Cloud Data Fusion pipeline.
C. Convert each DAG to a Cloud Workflow and automate the execution with Cloud Scheduler.
D. Create a new Cloud Composer environment and copy DAGS to the Cloud Composer dags/folder.

Answer: D

NEW QUESTION # 62
You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?

A. Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.
B. Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.
C. Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.
D. Create a Cloud Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.

Answer: D

NEW QUESTION # 63
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 single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.
B. Create a dual-region bucket, and upload the files to this bucket.
C. Create a multi-region bucket, and upload the files to this bucket.
D. 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.

Answer: B

NEW QUESTION # 64
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?

A. Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.
B. Create a Cloud Run function that runs daily and deletes files older than seven days.
C. Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.
D. Develop a batch process using Dataflow that runs weekly and deletes files based on their age.

Answer: A

NEW QUESTION # 65
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 separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.
B. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.
C. Create asales_regionuser attribute, and assign each manager's region as the value of their user attribute.
D. Create five different Explores with thesql_always_filterExplore filter applied on theregion_namedimension. Set eachregion_namevalue to the corresponding region for each manager.

Answer: C

NEW QUESTION # 66
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