Mia Anderson Mia Anderson's Profile Page

Mia Anderson Mia Anderson

0 Course Enrolled • 0 Course Completed

Biography

Exam Associate-Data-Practitioner Preparation & Associate-Data-Practitioner Reliable Test Topics

If you are clueless about the oncoming exam, our Associate-Data-Practitioner practice materials are trustworthy materials for your information. More than tens of thousands of exam candidate coincide to choose our Associate-Data-Practitioner practice materials. Our Associate-Data-Practitioner practice materials are perfect for they come a long way on their quality. If you commit any errors, which can correct your errors with accuracy rate more than 98 percent. To get more useful information about our Associate-Data-Practitioner practice materials, please read the following information.

By resorting to our Associate-Data-Practitioner practice materials, we can absolutely reap more than you have imagined before. We have clear data collected from customers who chose our Associate-Data-Practitioner actual tests, the passing rate is 98-100 percent. So your chance of getting success will be increased greatly by our Associate-Data-Practitioner braindump materials. Moreover, there are a series of benefits for you. So the importance of Associate-Data-Practitioner actual test is needless to say. If you place your order right now, we will send you the free renewals lasting for one year.

>> Exam Associate-Data-Practitioner Preparation <<

Associate-Data-Practitioner Reliable Test Topics & Hot Associate-Data-Practitioner Questions

One can instantly download actual Associate-Data-Practitioner exam questions after buying them from us. Free demos and up to 1 year of free updates are also available at PracticeMaterial. Buy Google Cloud Associate Data Practitioner (Associate-Data-Practitioner) practice material now and earn the Google Cloud Associate Data Practitioner (Associate-Data-Practitioner) certification exam of your dreams with us!

Google Associate-Data-Practitioner Exam Syllabus Topics:

Topic
Details

Topic 1

Data Management: This domain measures the skills of Google Database Administrators in configuring access control and governance. Candidates will establish principles of least privilege access using Identity and Access Management (IAM) and compare methods of access control for Cloud Storage. They will also configure lifecycle management rules to manage data retention effectively. A critical skill measured is ensuring proper access control to sensitive data within Google Cloud services

Topic 2

Data Analysis and Presentation: This domain assesses the competencies of Data Analysts in identifying data trends, patterns, and insights using BigQuery and Jupyter notebooks. Candidates will define and execute SQL queries to generate reports and analyze data for business questions.| Data Pipeline Orchestration: This section targets Data Analysts and focuses on designing and implementing simple data pipelines. Candidates will select appropriate data transformation tools based on business needs and evaluate use cases for ELT versus ETL.

Topic 3

Data Preparation and Ingestion: This section of the exam measures the skills of Google Cloud Engineers and covers the preparation and processing of data. Candidates will differentiate between various data manipulation methodologies such as ETL, ELT, and ETLT. They will choose appropriate data transfer tools, assess data quality, and conduct data cleaning using tools like Cloud Data Fusion and BigQuery. A key skill measured is effectively assessing data quality before ingestion.

Google Cloud Associate Data Practitioner Sample Questions (Q91-Q96):

NEW QUESTION # 91
Your organization stores highly personal data in BigQuery and needs to comply with strict data privacy regulations. You need to ensure that sensitive data values are rendered unreadable whenever an employee leaves the organization. What should you do?

A. Use customer-managed encryption keys (CMEK) and delete keys when employees leave the organization.
B. Use AEAD functions and delete keys when employees leave the organization.
C. Use dynamic data masking and revoke viewer permissions when employees leave the organization.
D. Use column-level access controls with policy tags and revoke viewer permissions when employees leave the organization.

Answer: A

Explanation:
Using customer-managed encryption keys (CMEK) allows you to encrypt highly sensitive data in BigQuery with encryption keys managed by your organization. When an employee leaves the organization, you can render the data unreadable by deleting or revoking access to the encryption keys associated with the data. This approach ensures compliance with strict data privacy regulations by making the data inaccessible without the encryption keys, providing strong control over data access and security.

NEW QUESTION # 92
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 Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.
B. Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.
C. Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.
D. Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.

Answer: A

Explanation:
Using a Cloud Run function triggered by Cloud Storage to load the data into BigQuery is the best solution because it minimizes both cost and maintenance while providing low-latency data ingestion. Cloud Run is a serverless platform that automatically scales based on the workload, ensuring efficient use of resources without requiring a dedicated instance or cluster. It integrates seamlessly with Cloud Storage event notifications, enabling real-time processing of incoming files and loading them into BigQuery. This approach is cost-effective, scalable, and easy to manage.

NEW QUESTION # 93
Your organization consists of two hundred employees on five different teams. The leadership team is concerned that any employee can move or delete all Looker dashboards saved in the Shared folder. You need to create an easy-to-manage solution that allows the five different teams in your organization to view content in the Shared folder, but only be able to move or delete their team-specific dashboard. What should you do?

A. 1. Change the access level of the Shared folder to View for the All Users group. 2. Create Looker groups representing each of the five different teams, and add users to their corresponding group. 3.
Create five subfolders inside the Shared folder. Grant each group the Manage Access, Edit access level to their corresponding subfolder.
B. 1. Create Looker groups representing each of the five different teams, and add users to their corresponding group. 2. Create five subfolders inside the Shared folder. Grant each group the View access level to their corresponding subfolder.
C. 1. Move all team-specific content into the dashboard owner s personal folder. 2. Change the access level of the Shared folder to View for the All Users group. 3. Instruct each user to create content for their team in the user's personal folder.
D. 1. Change the access level of the Shared folder to View for the All Users group. 2. Create five subfolders inside the Shared folder. Grant each team member the Manage Access, Edit access level to their corresponding subfolder.

Answer: A

Explanation:
Comprehensive and Detailed in Depth Explanation:
Why C is correct:Setting the Shared folder to "View" ensures everyone can see the content.
Creating Looker groups simplifies access management.
Subfolders allow granular permissions for each team.
Granting "Manage Access, Edit" allows teams to modify only their own content.
Why other options are incorrect:A: Grants View access only, so teams can't edit.
B: Moving content to personal folders defeats the purpose of sharing.
D: Grants edit access to all members of the team, not the team as a whole, which is not ideal.

NEW QUESTION # 94
You created a curated dataset of market trends in BigQuery that you want to share with multiple external partners. You want to control the rows and columns that each partner has access to. You want to follow Google-recommended practices. What should you do?

A. Create a separate project for each partner and copy the dataset into each project. Publish each dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
B. Publish the dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
C. Create a separate Cloud Storage bucket for each partner. Export the dataset to each bucket and assign each partner to their respective bucket. Grant bucket-level access by using 1AM roles.
D. Grant each partner read access to the BigQuery dataset by using 1AM roles.

Answer: B

Explanation:
Comprehensive and Detailed in Depth Explanation:
Why A is correct:Analytics Hub allows you to share datasets with external partners while maintaining control over access.
Subscriptions allow granular control.
Why other options are incorrect:B: Cloud storage is for files, not bigquery datasets.
C: IAM roles do not allow for granular row and column level control.
D: Creating a separate project for each partner is complex and not scalable.

NEW QUESTION # 95
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 rowsand transactional data. 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 Cloud Data Fusion to migrate the MySQL database to MySQL on Compute Engine.
C. Use Database Migration Service to replicate the MySQL database to a Cloud SQL for MySQL instance.
D. 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.

Answer: C

Explanation:
Using Database Migration Service (DMS) to replicate the MySQL database to a Cloud SQL for MySQL instance is the best approach. DMS is a fully managed service designed for migrating databases to Google Cloud with minimal downtime and cost. It supports continuous data replication, ensuring data integrity during the migration process, and handles schema and data transfer efficiently. This solution is particularly suited for large tables and transactional data, as it maintains real-time synchronization between the source and target databases, minimizing downtime for the migration.

NEW QUESTION # 96
......

Our valid Associate-Data-Practitioner exam dumps will provide you with free dumps demo with accurate answers that based on the real exam. These Associate-Data-Practitioner real questions and answers contain the latest knowledge points and the requirement of the certification exam. High quality and accurate of Associate-Data-Practitioner Pass Guide will be 100% guarantee to clear your test and get the certification with less time and effort.

Associate-Data-Practitioner Reliable Test Topics: https://www.practicematerial.com/Associate-Data-Practitioner-exam-materials.html