Get Ready to Pass the Databricks Developer for Apache Spark - Scala Exam

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Developer for Apache Spark - Scala Exam Format Exam Name: Databricks Certified Associate Developer for Apache Spark Exam Code: Developer for Apache Spark - Scala Duration: 120 mins Number of Questions: 60 Passing Score: 70% Practice Exams: Databricks Developer for Apache Spark - Scala Certification Practice Exam

Databricks Developer for Apache Spark - Scala Developer for Apache Spark - Scala Questions Get a glimpse of the actual exam questions with the help of these sample questions.

Q1. Spark dynamically handles skew in sort-merge join by splitting (and replicating if needed) skewed partitions. Which property needs to be enabled to achieve this? Options: a) spark.sql.adaptive.skewJoin.enabled b) spark.sql.skewJoin.enabled c) spark.sql.adaptive.skewJoin.enable d) spark.sql.adaptive.optimeze.skewJoin

Answer: a) spark.sql.adaptive.skewJoin.enabled

Q2. At which stage Catalyst optimizer generates one or more physical plans? Options: a) Code Generation b) Logical Optimization c) Physical Planning d) Analysis

Answer: c) Physical Planning

Q3. At which stage do the first set of optimizations take place? Options: a) Physical Planning b) Code Generation c) Logical Optimization d) Analysis

Answer: c) Logical Optimization

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