Web-based Databricks Databricks-Certified-Data-Engineer-Associate Practice Exam Software - Solution for Online Self-Assessment
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The Databricks Databricks-Certified-Data-Engineer-Associate exam is designed for data professionals who have at least two years of experience working with big data and data engineering. Databricks-Certified-Data-Engineer-Associate exam is challenging and requires a deep understanding of data engineering concepts and best practices. However, individuals who pass the exam will have a highly respected certification that can help them advance their careers and increase their earning potential.
To become a Databricks Certified Data Engineer Associate, candidates must pass a rigorous exam that tests their knowledge of Databricks architecture, data modeling, data processing, and data integration. Databricks-Certified-Data-Engineer-Associate Exam consists of 60 multiple-choice questions and must be completed within 90 minutes. Candidates must score at least 70% to pass the exam and earn the certification.
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q48-Q53):
NEW QUESTION # 48
Which of the following describes the relationship between Gold tables and Silver tables?
Answer: E
Explanation:
According to the medallion lakehouse architecture, gold tables are the final layer of data that powers analytics, machine learning, and production applications. They are often highly refined and aggregated, containing data that has been transformed into knowledge, rather than just information. Silver tables, on the other hand, are the intermediate layer of data that represents a validated, enriched version of the raw data from the bronze layer. They provide an enterprise view of all its key business entities, concepts and transactions, but they may not have all the aggregations and calculations that are required for specific use cases. Therefore, gold tables are more likely to contain aggregations than silver tables. Reference:
What is the medallion lakehouse architecture?
What is a Medallion Architecture?
NEW QUESTION # 49
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
Answer: B
Explanation:
Delta Lake is the optimized storage layer that provides the foundation for storing data and tables in the Databricks lakehouse. Delta Lake is fully compatible with Apache Spark APIs, and was developed for tight integration with Structured Streaming, allowing you to easily use a single copy of data for both batch and streaming operations and providing incremental processing at scale1. Delta Lake supports upserts using the merge operation, which enables you to efficiently update existing data or insert new data into your Delta tables2. Delta Lake also provides time travel capabilities, which allow you to query previous versions of your data or roll back to a specific point in time3. References: 1: What is Delta Lake? | Databricks on AWS 2: Upsert into a table using merge | Databricks on AWS 3: [Query an older snapshot of a table (time travel) | Databricks on AWS] Learn more
1blob:https://www.bing.com/a746b4b4-48d0-4f44-9736-44d1ce0c4228
learn.microsoft.com2blob:https://www.bing.com/525fbb0f-e02f-4a70-8085-22c065fe0ca0 medium.com3blob:https://www.bing.com/5cb5bd07-1008-4cf7-9fa3-42a5a689c7d5 slideshare.net4blob:https://www.bing.com/9a7e8352-30c1-4356-a73f-a7253b607ef7 docs.databricks.com5blob:https://www.bing.com/3f65cc27-d573-4810-b272-01238a431c03 github.com6blob:https://www.bing.com/334f6880-dfeb-4e61-bd9a-76efae0a2d01 key2consulting.com
NEW QUESTION # 50
Which of the following data workloads will utilize a Gold table as its source?
Answer: E
NEW QUESTION # 51
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?
Answer: D
NEW QUESTION # 52
A data engineer has a Python variable table_name that they would like to use in a SQL query. They want to construct a Python code block that will run the query using table_name.
They have the following incomplete code block:
____(f"SELECT customer_id, spend FROM {table_name}")
Which of the following can be used to fill in the blank to successfully complete the task?
Answer: D
NEW QUESTION # 53
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The certification is necessary to get a job in your desired Databricks company. Success in the test gives you an edge over the others because you will have certified skills that will make a good impression on the interviewer. Most people preparing for the Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate) exam are confused about preparation. How will they get real and updated Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate) exam questions? In the case of studying with outdated Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate) practice questions, you will fail and lose your resources.
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