Insights & Tools

Nick Fox Nick Fox

0 Course Enrolled • 0 Course Completed

Biography

Free PDF Databricks - Databricks-Certified-Data-Engineer-Associate - Databricks Certified Data Engineer Associate Exam–Efficient Certificate Exam

P.S. Free & New Databricks-Certified-Data-Engineer-Associate dumps are available on Google Drive shared by PracticeDump: https://drive.google.com/open?id=1FJloynWg15YfBWRgWZSHNQaCgsP24qPw

With PracticeDump's Databricks Databricks-Certified-Data-Engineer-Associate Exam Training materials you can pass the Databricks Databricks-Certified-Data-Engineer-Associate exam easily. The training tools which designed by our website can help you pass the exam the first time. You only need to download the PracticeDump Databricks Databricks-Certified-Data-Engineer-Associate exam training materials, namely questions and answers, the exam will become very easy. PracticeDump guarantee that you will be able to pass the exam. If you are still hesitant, download our sample of material, then you can know the effect. Do not hesitate, add the exam material to your shopping cart quickly. If you miss it you will regret for a lifetime.

Databricks Certified Data Engineer Associate certification exam is ideal for data engineers who work with Databricks on a regular basis and want to enhance their skills and knowledge. Databricks-Certified-Data-Engineer-Associate Exam is also suitable for data engineers who are looking to validate their expertise in Databricks and demonstrate their ability to work with the platform. By earning this certification, data engineers can showcase their proficiency in Databricks and increase their career opportunities in the field of data engineering.

>> Certificate Databricks-Certified-Data-Engineer-Associate Exam <<

Reliable Databricks-Certified-Data-Engineer-Associate Exam Syllabus | Databricks-Certified-Data-Engineer-Associate Valid Exam Syllabus

The Databricks-Certified-Data-Engineer-Associate PDF file contains the real, valid, and updated Databricks Databricks-Certified-Data-Engineer-Associate exam practice questions. These are the real Databricks-Certified-Data-Engineer-Associate exam questions that surely will appear in the upcoming exam and by preparing with them you can easily pass the final exam. The Databricks-Certified-Data-Engineer-Associate PDF Questions file is easy to use and install. You can use the Databricks-Certified-Data-Engineer-Associate PDF practice questions on your laptop, desktop, tabs, or even on your smartphone and start Databricks exam preparation right now.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
Which of the following must be specified when creating a new Delta Live Tables pipeline?

A. A key-value pair configuration
B. At least one notebook library to be executed
C. The preferred DBU/hour cost
D. A path to cloud storage location for the written data
E. A location of a target database for the written data

Answer: B

Explanation:
Option E is the correct answer because it is the only mandatory requirement when creating a new Delta Live Tables pipeline. A pipeline is a data processing workflow that contains materialized views and streaming tables declared in Python or SQL source files. Delta Live Tables infers the dependencies between these tables and ensures updates occur in the correct order. To create a pipeline, you need to specify at least one notebook library to be executed, which contains the Delta Live Tables syntax. You can also specify multiple libraries of different languages within your pipeline. The other options are optional or not applicable for creating a pipeline. Option A is not required, but you can optionally provide a key-value pair configuration to customize the pipeline settings, such as the storage location, the target schema, the notifications, and the pipeline mode.
Option B is not applicable, as the DBU/hour cost is determined by the cluster configuration, not the pipeline creation. Option C is not required, but you can optionally specify a storage location for the output data from the pipeline. If you leave it empty, the system uses a default location. Option D is not required, but you can optionally specify a location of a target database for the written data, either in the Hive metastore or the Unity Catalog.
References: Tutorial: Run your first Delta Live Tables pipeline, What is Delta Live Tables?, Create a pipeline, Pipeline configuration.

NEW QUESTION # 102
Which of the following describes the type of workloads that are always compatible with Auto Loader?

A. Dashboard workloads
B. Machine learning workloads
C. Streaming workloads
D. Serverless workloads
E. Batch workloads

Answer: C

Explanation:
Explanation
Auto Loader is a feature of Databricks that simplifies and automates the process of loading streaming data into Delta Lake tables. Auto Loader can detect new and updated files in cloud storage and efficiently load them as micro-batches or as a continuous stream. Auto Loader is always compatible with streaming workloads, as it is designed to handle streaming sources such as Amazon S3, Azure Data Lake Storage Gen2, and Azure Blob Storage. The other types of workloads may or may not be compatible with Auto Loader, depending on the data source and the use case. References: The information can be referenced from Databricks documentation on Auto Loader: Auto Loader.
https://community.databricks.com/t5/data-engineering/practice-exams-for-databricks-certified-data-engineer/td-p

NEW QUESTION # 103
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

A. Databricks Repos is wholly housed within the Databricks Lakehouse Platform
B. Databricks Repos supports the use of multiple branches
C. Databricks Repos allows users to revert to previous versions of a notebook
D. Databricks Repos provides the ability to comment on specific changes
E. Databricks Repos automatically saves development progress

Answer: B

NEW QUESTION # 104
A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?

A. They can use endpoints available in Databricks SQL
B. They can configure the clusters to be single-node
C. They can use jobs clusters instead of all-purpose clusters
D. They can use clusters that are from a cluster pool
E. They can configure the clusters to autoscale for larger data sizes

Answer: D

Explanation:
The best action that the data engineer can perform to improve the start up time for the clusters used for the Job is to use clusters that are from a cluster pool. A cluster pool is a set of idle clusters that can be used by jobs or interactive sessions. By using a cluster pool, the data engineer can avoid the cluster creation time and reduce the latency of the tasks. Cluster pools also offer cost savings and resource efficiency, as they can be shared by multiple users and jobs.
Option A is not relevant, as endpoints available in Databricks SQL are used for creating and managing SQL analytics workloads, not for improving cluster start up time.
Option B is not correct, as jobs clusters and all-purpose clusters have similar start up times. Jobs clusters are clusters that are dedicated to run a single job and are terminated when the job is completed. All-purpose clusters are clusters that can be used for multiple purposes, such as interactive sessions, notebooks, or multiple jobs. Both types of clusters can benefit from using a cluster pool.
Option C is not advisable, as configuring the clusters to be single-node will reduce the parallelism and performance of the tasks. Single-node clusters are clusters that have only one worker node and are typically used for testing or development purposes. They are not suitable for running production jobs that require high scalability and fault tolerance.
Option E is not helpful, as configuring the clusters to autoscale for larger data sizes will not affect the start up time of the clusters. Autoscaling is a feature that allows clusters to dynamically adjust the number of worker nodes based on the workload. It can help optimize the resource utilization and cost efficiency of the clusters, but it does not speed up the cluster creation process.
References:
* Cluster Pools
* Jobs
* Clusters
* [Databricks Data Engineer Professional Exam Guide]

NEW QUESTION # 105
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query. For the first week following the project's release, the manager wants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?

A. They can set the query's refresh schedule to end after a certain number of refreshes.
B. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
C. They can set the query's refresh schedule to end on a certain date in the query scheduler.
D. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
E. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.

Answer: C

Explanation:
In Databricks SQL, you can use scheduled query executions to update your dashboards or enable routine alerts. By default, your queries do not have a schedule. To set the schedule, you can use the dropdown pickers to specify the frequency, period, starting time, and time zone. You can also choose to end the schedule on a certain date by selecting the End date checkbox and picking a date from the calendar. This way, you can ensure that the query does not run beyond the first week of the project's release and does not incur any additional cost. Option A is incorrect, as setting a limit to the number of DBUs does not stop the query from running. Option B is incorrect, as there is no option to end the schedule after a certain number of refreshes. Option C is incorrect, as there is a way to ensure the query does not cost the organization money beyond the first week of the project's release. Option D is incorrect, as setting a limit to the number of individuals who can manage the query's refresh schedule does not affect the query's execution or cost. Reference: Schedule a query, Schedule a query - Azure Databricks - Databricks SQL

NEW QUESTION # 106
......

The pass rate is 98.75%, and we will ensure you pass the exam if you buy Databricks-Certified-Data-Engineer-Associate exam torrent from us. Since the high pass rate, we have received many good feedbacks from candidates. What’s more, we pass guarantee and money back guarantee if you fail to pass the exam after purchasing Databricks-Certified-Data-Engineer-Associate Exam Torrent from us. We have online and offline chat service stuff, and they possess the professional knowledge about the Databricks-Certified-Data-Engineer-Associate exam dumps, if you have any questions, just have a chat with them.

Reliable Databricks-Certified-Data-Engineer-Associate Exam Syllabus: https://www.practicedump.com/Databricks-Certified-Data-Engineer-Associate_actualtests.html

What's more, part of that PracticeDump Databricks-Certified-Data-Engineer-Associate dumps now are free: https://drive.google.com/open?id=1FJloynWg15YfBWRgWZSHNQaCgsP24qPw

Nick Fox Nick Fox

Biography

Get Certified and Boost Your HR Career

About

Links

Support