Databricks Certified Developer for Spark Practice Exams 2024
Databricks Certified Developer for Spark Practice Exams 2024
Databricks Associate Certification Practice Questions (PySpark/Python), Tests + Detailed Explanations + Exam Tips & Tricks
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Udemy Coupon Code for Databricks Certified Developer for Spark Practice Exams 2024 Course. Databricks Associate Certification Practice Questions (PySpark/Python), Tests + Detailed Explanations + Exam Tips & Tricks.
Created by Florian Roscheck | Databricks Certified Associate Developer | 3 practice tests video course
Databricks Certified Developer Course Overview
Databricks Certified Developer for Spark Practice Exams 2024
If you have been looking for a comprehensive set of realistic, high-quality questions to practice for the Databricks Certified Developer for Apache Spark 3.0 exam in Python, look no further!
These up-to-date practice exams provide you with the knowledge and confidence you need to pass the exam with excellence. All 180 questions have been written from scratch, based on the actual distribution of topics and tone in the real exam. The questions cover all themes being tested for in the exam, including specifics to Python and Apache Spark 3.0.
Most questions come with detailed explanations, giving you a chance to learn from your mistakes and have links to the Spark documentation and expert web content, helping you to understand how Spark works even better.
These practice exams come with valuable exam tips & tricks and code snippets that you can execute for free on the Databricks Community Edition. These supplemental materials will help you understand the many tricky details of the exam and the Spark syntax, giving you the knowledge and confidence you need to be a top performer in the real exam!
Databricks Certified Associate Developer for Apache Spark Course Content
The practice exams cover the following topics:
Spark Architecture: Conceptual understanding (ca. 17 %): Spark driver, execution hierarchy, DAGs, execution modes, deployment modes, memory management, cluster configurations, fault tolerance, partitioning, narrow vs. wide transformations, executors, Python vs. Scala, Spark vs. Hadoop
Spark Architecture: Applied understanding (ca. 11%): Memory management, configurations, lazy evaluation, action vs. transformation, shuffles, broadcasting, fault tolerance, accumulators, adaptive query execution, Spark UI, partitioning
Spark DataFrame API Applications (ca. 72%): Selecting/dropping columns, renaming columns, aggregating rows, filtering DataFrames, different types of joins, partitioning/coalescing, reading and writing DataFrames in different formats, string functions, math functions, UDFs, Spark configurations, caching, collect/take
All questions are original, high-quality questions, not anything like Databricks Spark certification dumps.
These practice exams are specifically for the Python version of the exam. If you have been preparing to the take exam in Scala, only the 51 included Spark Architecture questions will apply to you, as the DataFrame API Applications questions focus on Python syntax exclusively.
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- For those who are about to take the Databricks Certified Associate Developer for Apache Spark 3.0 exam in Python
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Taught by Florian Roscheck
