VALID DATABRICKS-CERTIFIED-DATA-ANALYST-ASSOCIATE EXAM TIPS & DATABRICKS-CERTIFIED-DATA-ANALYST-ASSOCIATE LATEST TEST QUESTIONS

Valid Databricks-Certified-Data-Analyst-Associate Exam Tips & Databricks-Certified-Data-Analyst-Associate Latest Test Questions

Valid Databricks-Certified-Data-Analyst-Associate Exam Tips & Databricks-Certified-Data-Analyst-Associate Latest Test Questions

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
A data analyst needs to share a Databricks SQL dashboard with stakeholders that are not permitted to have accounts in the Databricks deployment. The stakeholders need to be notified every time the dashboard is refreshed.
Which approach can the data analyst use to accomplish this task with minimal effort/

  • A. By granting the stakeholders' email addresses to the SQL Warehouse (formerly known as endpoint) subscribers list
  • B. By downloading the dashboard as a PDF and emailing it to the stakeholders each time it is refreshed
  • C. By granting the stakeholders' email addresses permissions to the dashboard
  • D. By adding the stakeholders' email addresses to the refresh schedule subscribers list

Answer: D

Explanation:
To share a Databricks SQL dashboard with stakeholders who do not have accounts in the Databricks deployment and ensure they are notified upon each refresh, the data analyst can add the stakeholders' email addresses to the dashboard's refresh schedule subscribers list. This approach allows the stakeholders to receive email notifications containing the latest dashboard updates without requiring them to have direct access to the Databricks workspace. This method is efficient and minimizes effort, as it automates the notification process and ensures stakeholders remain informed of the most recent data insights.


NEW QUESTION # 21
A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.
Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

  • A. Increase the minimum scaling value
  • B. Turn off the Auto stop feature
  • C. Use a Serverless SQL endpoint
  • D. Increase the SQL endpoint cluster size
  • E. Reduce the SQL endpoint cluster size

Answer: C

Explanation:
A Serverless SQL endpoint is a type of SQL endpoint that does not require a dedicated cluster to run queries. Instead, it uses a shared pool of resources that can scale up and down automatically based on the demand. This means that a Serverless SQL endpoint can start up much faster than a SQL endpoint that uses a cluster, and it can also save costs by only paying for the resources that are used. A Serverless SQL endpoint is suitable for ad-hoc queries and exploratory analysis, but it may not offer the same level of performance and isolation as a SQL endpoint that uses a cluster. Therefore, a data analyst should consider the trade-offs between speed, cost, and quality when choosing between a Serverless SQL endpoint and a SQL endpoint that uses a cluster. Reference: Databricks SQL endpoints, Serverless SQL endpoints, SQL endpoint clusters


NEW QUESTION # 22
Data professionals with varying responsibilities use the Databricks Lakehouse Platform Which role in the Databricks Lakehouse Platform use Databricks SQL as their primary service?

  • A. Data scientist
  • B. Business analyst
  • C. Platform architect
  • D. Data engineer

Answer: B

Explanation:
In the Databricks Lakehouse Platform, business analysts primarily utilize Databricks SQL as their main service. Databricks SQL provides an environment tailored for executing SQL queries, creating visualizations, and developing dashboards, which aligns with the typical responsibilities of business analysts who focus on interpreting data to inform business decisions. While data scientists and data engineers also interact with the Databricks platform, their primary tools and services differ; data scientists often engage with machine learning frameworks and notebooks, whereas data engineers focus on data pipelines and ETL processes. Platform architects are involved in designing and overseeing the infrastructure and architecture of the platform. Therefore, among the roles listed, business analysts are the primary users of Databricks SQL.


NEW QUESTION # 23
Where in the Databricks SQL workspace can a data analyst configure a refresh schedule for a query when the query is not attached to a dashboard or alert?

  • A. The Visualization editor
  • B. The Query Editor
  • C. Data bxplorer
  • D. The Dashboard Editor

Answer: B

Explanation:
In Databricks SQL, to configure a refresh schedule for a query that is not attached to a dashboard or alert, a data analyst should use the Query Editor. Within the Query Editor, there is an option to set up scheduled executions for queries. This feature enables the query to run at specified intervals, ensuring that the results are updated regularly. By scheduling queries in this manner, analysts can automate data refreshes and maintain up-to-date query results without manual intervention.


NEW QUESTION # 24
An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses "Dashboard Parameter" for the query parameter associated with the area chart.
Which of the following statements is true?

  • A. The area chart will convert to a Dashboard Parameter.
  • B. The area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter.
  • C. The area chart will use whatever value is input by the analyst when the visualization is added to the dashboard. The parameter cannot be changed by the user afterwards.
  • D. The area chart will use whatever is selected in the Dashboard Parameter while all or the other visualizations will remain changed regardless of their parameter use.
  • E. The area chart will use whatever value is chosen on the dashboard at the time the area chart is added to the dashboard.

Answer: B

Explanation:
A Dashboard Parameter is a parameter that is configured for one or more visualizations within a dashboard and appears at the top of the dashboard. The parameter values specified for a Dashboard Parameter apply to all visualizations reusing that particular Dashboard Parameter1. Therefore, if the analyst chooses "Dashboard Parameter" for the query parameter associated with the area chart, the area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter. This allows the user to filter the data across multiple visualizations using a single parameter widget2. Reference: Databricks SQL dashboards, Query parameters


NEW QUESTION # 25
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