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Databricks Certified Associate Developer for Apache Spark 3.0 Exam Practice Questions
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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 FAQs
The Databricks Certified Associate Developer for Apache Spark 3.0 exam is a certification test that validates a candidate's ability to develop Spark applications using the Apache Spark 3.0 platform.
The exam is 120 minutes long and consists of 60 multiple-choice questions.
The registration fee for the exam is $200 USD.
With this certification, you can pursue roles such as Data Engineer, Spark Developer, Big Data Engineer, and Data Scientist.
Professionals with a Databricks certification typically see a salary increase, with average salaries ranging from $90,000 to $130,000 annually, depending on experience and location.
The certification benefits organizations by ensuring that employees have the necessary skills to develop efficient and scalable Spark applications, leading to better data processing and analytics capabilities.
The certification enhances career flexibility by providing a strong foundation in Spark development, making you eligible for various roles across different industries that rely on big data and analytics.
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Databricks Certified Associate Developer for Apache Spark 3.0 Exam Questions and Answers
Which of the following code blocks reads in parquet file /FileStore/imports.parquet as a DataFrame?
Which of the following describes a way for resizing a DataFrame from 16 to 8 partitions in the most efficient way?
Which of the following code blocks stores DataFrame itemsDf in executor memory and, if insufficient memory is available, serializes it and saves it to disk?
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