Manipulating columns, filtering data, dropping columns in data sorting, Dataframe aggregation, handling missing data, combining data frame, reading data frame, writing dataframe, Dataframe partitioning, dataframe partitioning with schema.Official Databricks has provided this much information only about the syllabus for the exam but based on the experience of the various candidates these are topics mostly e around which question has been ask as follows:.Spark DataFrame API Applications (~72%).Spark Architecture: Applied understanding (~11%).Spark Architecture: Conceptual understanding (~17%).The exam consists of 60 multiple-choice questions.However they have outline the important topics around which they will going to take the exam these are as follows : There is as such no crystal clear syllabus has been defined by the Databricks just like you can get it in the AWS or Microsoft Azure certification. However the good thing is that you will be provided with Spark documentation based upon the type of the language which you have selected for example if you have opted out for Scala then you will have access to Scala documentation for spark and if you have chosen the Python then accordingly you get the access for the Python documentation for spark Syllabus for the Exam.No need to say that this exam will be conducted online using proctor where you will be monitored throughout the exam and you are not allowed to use any reference material outside.For getting the certification you need to get 70% in the exam, in terms of the number of the questions you have to clear 42 questions out of 60.Time limit for the exam is 120 minutes you have to finish your exam in this 120 minutes only.There will be total 60 questions in the exam all will be multiple choice questions.Exam cost is $200 as of now while writing this blog.You should be aware of spark SQL writing your own functions that are UDF sound knowledge about the partitions. You should know at least basic functionalities of Spark dataframe which would involve selecting filtering transforming joining In the data frame.Candidates should have some basic understanding about the Spark architecture, how it will let it out, how you can use the Databricks in interactive and in the scheduling mode.Hence it is recommended that it should be good if you have at least 6 months of experience in using the Spark DataFrame API In this exam you will be tested on your Spark skills, you can either opt for Scala or Python based on your choice.There is no prerequisite for attempting the Databricks certification exam, however there are couple of recommendation which has been shared by the Databricks itself, the recommendations are as follows : This is an associate level certification and it is good for professionals who are having in the range of 4 to 10 years of experience in the IT industry.Īzure Databricks Interview Questions and Answers Hence if you are a data engineer and you work day in day out in the Databricks either using Scala or Python, this certification is meant for you. For data engineers this is one of the most popular certifications in the Databricks community. In Databricks certification program path you don’t have so many certifications available. Like many IT giants Microsoft, Oracle, AWS, Databricks has also launched their certification program.
6 Final Thoughts What is Databricks Certified Associate Developer for Apache Spark 3.0 Exam.5 Practice Questions for Databricks Certified Associate Developer for Apache Spark 3.0.2 Databricks Certification Exam Details.1 What is Databricks Certified Associate Developer for Apache Spark 3.0 Exam.
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