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Don’t Miss This! New IBM Certification Is Available Now!

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  • September 26, 2016
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ibm, new exam, ibm certificationIBM is famous for its sparkling, outstanding solutions concerning manufacturing and marketing computer hardware, middleware and software. IBM offers hosting and consulting services in areas ranging from mainframe computers to nanotechnology. A new exam – IBM Certified Developer – Apache Spark 1.6 – is a perfect opportunity for candidates ready to show their high level and ability to deal with streaming, machine learning, SQL and graph processing on Spark.
If you are the one who feels the strength to overcome the next stage on the way to success, try to pass this test. It will certify that you have all the necessary skills to work with, transform, and act on data at a very large scale.

After preparing for the exam and having passed all the courses recommended, you will be able to build data pipelines and derive viable insights into the data using Apache Spark. But when preparing for the certification test, you should take into account that real world experience is required to stand a reasonable chance of passing the certification test. Applied knowledge with deployment architectures and the ability to assist in tuning, troubleshooting, and optimization are definitely earnest of success.

IBM certification program enumerates main prerequisite skills which are recommended for passing the exam and earning the certification. Let’s take a look at these recommendations:

  • Read and write Python code
  • Read and write Scala code
  • Create and work with RDDs and related APIs
  • Create and work with DataFrames and related APIs
  • Create and work with Dstreams and related APIs
  • Read/write data from multiple data sources and file types
  • Read and write SQL statements
  • Compare and contrast Spark with Hadoop MapReduce
  • Manage partitions to improve RDD performance and apply different partition strategies
  • Identify what operations cause shuffling
  • Optimize memory usage with serialization options
  • Create Spark config contexts for different requirements
  • Use caching, checkpoint, and persistence in appropriate situations
  • Explain memory management in Spark
  • Work with key value pairs and associated Spark APIs for key value pairs
  • Define and work with accumulators
  • Configure your application to run on a cluster
  • Explain core concepts such as master, drivers, executors, stages and tasks
  • Debug your spark code
  • Define and work with broadcast variables
  • Explain Spark transformations and actions with respect to lazy evaluation
  • Monitor Spark applications
  • Launch applications with spark-submit
  • Manage runtime issues and performance bottlenecks in Spark
  • Build a pipeline with Streaming, MLLib, SQL, and Graph on Spark
  • Work with Spark Streaming APIs
  • Work with SparkML and MLLib APIs
  • Work with GraphX
  • Work with SparkSQL

There are a lot of recommendations, aren’t there? But we have something that will probably make you glad. There will be only one test consisting of 60 questions and lasting for two hours. It should be noted that required passing score is 65%.

Don’t use only one resource to prepare for certification exams. There are lots of various publications and courses which can brush up your knowledge before taking a certification test.

If you want to purchase a training course, feel free to contact an IBM Global Training Provider.

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