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100% Pass 2025 Databricks Databricks-Certified-Data-Analyst-Associate: Databricks Certified Data Analyst Associate Exam Perfect Latest Exam Fee

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q16-Q21):

NEW QUESTION # 16
A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.
Which of the following projects should be completed in Databricks SQL?

  • A. Tracking usage of feature variables for machine learning projects
  • B. Automating complex notebook-based workflows with multiple tasks
  • C. Segmenting customers into like groups using a clustering algorithm
  • D. Combining two data sources into a single, comprehensive dataset
  • E. Testing the quality of data as it is imported from a source

Answer: D

Explanation:
Databricks SQL is a service that allows users to query data in the lakehouse using SQL and create visualizations and dashboards1. One of the common use cases for Databricks SQL is to combine data from different sources and formats into a single, comprehensive dataset that can be used for further analysis or reporting2. For example, a data analyst can use Databricks SQL to join data from a CSV file and a Parquet file, or from a Delta table and a JDBC table, and create a new table or view that contains the combined data3. This can help simplify the data management and governance, as well as improve the data quality and consistency. Reference:
Databricks SQL overview
Databricks SQL use cases
Joining data sources


NEW QUESTION # 17
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. Use a Serverless SQL endpoint
  • B. Reduce the SQL endpoint cluster size
  • C. Increase the SQL endpoint cluster size
  • D. Turn off the Auto stop feature
  • E. Increase the minimum scaling value

Answer: A

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 # 18
A data analyst has been asked to count the number of customers in each region and has written the following query:

If there is a mistake in the query, which of the following describes the mistake?

  • A. The query is selecting region but region should only occur in the ORDER BY clause.
  • B. The query is using count('). which will count all the customers in the customers table, no matter the region.
  • C. The query is using ORDER BY. which is not allowed in an aggregation.
  • D. There are no mistakes in the query.
  • E. The query is missing a GROUP BY region clause.

Answer: E

Explanation:
In the provided SQL query, the data analyst is trying to count the number of customers in each region. However, they made a mistake by not including the "GROUP BY" clause to group the results by region. Without this clause, the query will not return counts for each distinct region but rather an error or incorrect result. Reference: The need for a GROUP BY clause in such queries can be understood from Databricks SQL documentation: Databricks SQL.
I also noticed that you uploaded an image with your question. The image shows a snippet of an SQL query written in plain text on a white background. The query is attempting to select regions and count customers from a "customers" table and order the results by region. There's no visible syntax highlighting or any other color - it's monochromatic. The query is the same as the one in your question. I'm not sure why you included the image, but maybe you wanted to show me the exact format of your query. If so, you can also use code blocks to display formatted content such as SQL queries. For example, you can write:
SELECT region, count(*) AS number_of_customers
FROM customers
ORDER BY region;
This way, you can avoid uploading images and make your questions more clear and concise. I hope this helps.


NEW QUESTION # 19
What describes the variance of a set of values?

  • A. Variance is a measure of how far a set of values is spread out from the sets central value.
  • B. Variance is a measure of how far an observed value is from the variable's maximum or minimum value.
  • C. Variance is a measure of central tendency of a set of values.
  • D. Variance is a measure of how far a single observed value is from a set ot va IN

Answer: A

Explanation:
Variance is a statistical measure that quantifies the dispersion or spread of a set of values around their mean (central value). It is calculated by taking the average of the squared differences between each value and the mean of the dataset. A higher variance indicates that the data points are more spread out from the mean, while a lower variance suggests that they are closer to the mean. This measure is fundamental in statistics to understand the degree of variability within a dataset.WikipediaWikipedia+1Investopedia+1


NEW QUESTION # 20
A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every 10 minutes.
A data analyst has created a dashboard based on this gold level dat
a. The project stakeholders want to see the results in the dashboard updated within 10 minutes or less of new data becoming available within the gold-level tables.
What is the ability to ensure the streamed data is included in the dashboard at the standard requested by the project stakeholders?

  • A. A refresh schedule with stakeholders included as subscribers
  • B. A refresh schedule with an interval of 10 minutes or less
  • C. A refresh schedule with an always-on SQL Warehouse (formerly known as SQL Endpoint
  • D. A refresh schedule with a Structured Streaming cluster

Answer: B

Explanation:
In this scenario, the data engineering team has configured a Structured Streaming pipeline that updates the gold-level tables every 10 minutes. To ensure that the dashboard reflects the most recent data, it is essential to set the dashboard's refresh schedule to an interval of 10 minutes or less. This synchronization ensures that stakeholders view the latest information shortly after it becomes available in the gold-level tables. Options B, C, and D do not directly address the requirement of aligning the dashboard refresh frequency with the data update interval.


NEW QUESTION # 21
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