MORE DETAILS ABOUT DATABRICKS DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE EXAM DUMPS

More Details About Databricks Databricks-Certified-Data-Engineer-Associate Exam Dumps

More Details About Databricks Databricks-Certified-Data-Engineer-Associate Exam Dumps

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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) certification exam is a highly esteemed certification for data professionals. Databricks-Certified-Data-Engineer-Associate exam measures an individual's competence in designing, building, and maintaining data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification covers a wide range of topics, including data engineering fundamentals, Databricks architecture, data modeling, and data processing.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

  • A. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
  • B. They can turn on the Auto Stop feature for the SQL endpoint.
  • C. They can reduce the cluster size of the SQL endpoint.
  • D. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
  • E. They can set up the dashboard's SQL endpoint to be serverless.

Answer: E

Explanation:
A serverless SQL endpoint is a compute resource that is automatically managed by Databricks and scales up or down based on the workload. A serverless SQL endpoint can be used to run queries and dashboards without requiring manual configuration or management. A serverless SQL endpoint is only active when it is needed and shuts down automatically when idle, minimizing the total running time and cost. A serverless SQL endpoint can be created and assigned to a dashboard using the Databricks SQL UI or the SQL Analytics API. References:
* Create a serverless SQL endpoint
* Assign a SQL endpoint to a dashboard
* SQL Analytics API


NEW QUESTION # 54
In which of the following scenarios should a data engineer use the MERGE INTO command instead of the INSERT INTO command?

  • A. When the source is not a Delta table
  • B. When the target table cannot contain duplicate records
  • C. When the location of the data needs to be changed
  • D. When the target table is an external table
  • E. When the source table can be deleted

Answer: B

Explanation:
The MERGE INTO command is used to perform upserts, which are a combination of insertions and updates, based on a source table into a target Delta table1. The MERGE INTO command can handle scenarios where the target table cannot contain duplicate records, such as when there is a primary key or a unique constraint on the target table. The MERGE INTO command can match the source and target rows based on a merge condition and perform different actions depending on whether the rows are matched or not. For example, the MERGE INTO command can update the existing target rows with the new source values, insert the new source rows that do not exist in the target table, or delete the target rows that do not exist in the source table1.
The INSERT INTO command is used to append new rows to an existing table or create a new table from a query result2. The INSERT INTO command does not perform any updates or deletions on the existing target table rows. The INSERT INTO command can handle scenarios where the location of the data needs to be changed, such as when the data needs to be moved from one table to another, or when the data needs to be partitioned by a certain column2. The INSERT INTO command can also handle scenarios where the target table is an external table, such as when the data is stored in an external storage system like Amazon S3 or Azure Blob Storage3. The INSERT INTO command can also handle scenarios where the source table can be deleted, such as when the source table is a temporary table or a view4. The INSERT INTO command can also handle scenarios where the source is not a Delta table, such as when the source is a Parquet, CSV, JSON, or Avro file5.
References:
* 1: MERGE INTO | Databricks on AWS
* 2: [INSERT INTO | Databricks on AWS]
* 3: [External tables | Databricks on AWS]
* 4: [Temporary views | Databricks on AWS]
* 5: [Data sources | Databricks on AWS]


NEW QUESTION # 55
A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when it is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

  • A. They can set up the dashboard's SQL endpoint to be serverless.
  • B. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
  • C. They can turn on the Auto Stop feature for the SQL endpoint.
  • D. They can reduce the cluster size of the SQL endpoint.
  • E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.

Answer: C

Explanation:
The Auto Stop feature allows the SQL endpoint to automatically stop after a specified period of inactivity.
This can help reduce the cost and resource consumption of the SQL endpoint, as it will only run when it is needed to refresh the dashboard or execute queries. The data engineer can configure the Auto Stop setting for the SQL endpoint from the SQL Endpoints UI, by selecting the desired idle time from the Auto Stop dropdown menu. The default idle time is 120 minutes, but it can be set to as low as 15 minutes or as high as
240 minutes. Alternatively, the data engineer can also use the SQL Endpoints REST API to set the Auto Stop setting programmatically. References: SQL Endpoints UI, SQL Endpoints REST API, Refreshing SQL Dashboard


NEW QUESTION # 56
A data engineering team has noticed that their Databricks SQL queries are running too slowly when they are submitted to a non-running SQL endpoint. The data engineering team wants this issue to be resolved.
Which of the following approaches can the team use to reduce the time it takes to return results in this scenario?

  • A. They can increase the maximum bound of the SQL endpoint's scaling range
  • B. They can increase the cluster size of the SQL endpoint.
  • C. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
    "Reliability Optimized."
  • D. They can turn on the Auto Stop feature for the SQL endpoint.
  • E. They can turn on the Serverless feature for the SQL endpoint.

Answer: E

Explanation:
Option D is the correct answer because it enables the Serverless feature for the SQL endpoint, which allows the endpoint to automatically scale up and down based on the query load. This way, the endpoint can handle more concurrent queries and reduce the time it takes to return results. The Serverless feature also reduces the cold start time of the endpoint, which is the time it takes to start the cluster when a query is submitted to a non-running endpoint. The Serverless feature is available for both AWS and Azure Databricks platforms.
References: Databricks SQL Serverless, Serverless SQL endpoints, New Performance Improvements in Databricks SQL


NEW QUESTION # 57
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

  • A. They can schedule the query to run every 1 day from the Jobs UI.
  • B. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
  • C. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
  • D. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
  • E. They can schedule the query to run every 12 hours from the Jobs UI.

Answer: D


NEW QUESTION # 58
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