Member since
12-21-2015
78
Posts
33
Kudos Received
14
Solutions
My Accepted Solutions
Title | Views | Posted |
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10829 | 03-14-2017 08:49 AM | |
3031 | 05-24-2016 05:39 PM | |
77304 | 05-11-2016 09:25 AM | |
2550 | 04-21-2016 09:43 AM | |
2450 | 04-18-2016 04:28 AM |
04-21-2016
09:43 AM
1 Kudo
No, I don't know where that page is trying to take you. Where is that link? On a Cloudera page? My guess is that link is to an older Data Scientist exam. Details on the challenge that we currently have running can be found here: http://www.cloudera.com/training/certification/ccp-ds.html http://www.cloudera.com/training/certification/ccp-ds/exams.html
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04-18-2016
04:28 AM
Certification exams are not taken at a testing center any longer. They are now taken online. http://www.cloudera.com/training/certification/faq.html
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04-13-2016
07:26 AM
You can find the solution kit here: http://certification.cloudera.com/prep/dsc1sk/intro.html
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03-28-2016
07:47 AM
2 Kudos
It means two things. First, there is a section of the required skills labelled Transform, Stage, Store. The exams will definitely focus on converting on thing to another, either through changing file formats or changing the records themself. Second, you are correct. If we give you a library, you should know how the tool you are using will allow you to use it. Any external library will be provided to you.
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03-21-2016
02:49 PM
SBT is not one of the packages that comes installed on the cluster.
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03-21-2016
12:48 PM
http://www.cloudera.com/training/certification/cca-spark.html Number of Questions: 10–12 performance-based (hands-on) tasks on CDH5 cluster.
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03-20-2016
10:02 PM
There are no exercises or practice exams for the new hands-on practical exams. Our Cloudera Developer Training for Spark and Hadoop teaches you all the skills to pass the exam and gives you days worth of hands-on practice. If you do not wish to take our training or cannot afford it, there are hundreds of free resources on the internet. For example, if I point my browser to the List of objectives from our website. I then copy the first objective and search on it, I get dozens of free docs and training on the skill. Objective: Import data from a MySQL database into HDFS using Sqoop • sqoop.apache.org docs on importing data using Sqoop • Importing Data into HDFS using Sqoop • Video demonstration of user importing data from MySQL to HDFS using Sqoop This can be done for any of our exams. Of course the quality of materials freely discovered on the internet differs greatly, as does the discount training vendors, which is why we only recommend Cloudera training.
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03-14-2016
08:06 AM
http://www.cloudera.com/training/certification/cca-spark.html Check the required skills. If it is not in that list, then there will not be a question regarding that topic.
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02-09-2016
08:28 AM
You can run a virtual environment such as VM Ware on your Windows box and use an image from Cloudera. http://www.cloudera.com/downloads/quickstart_vms.html
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02-05-2016
08:09 AM
1) The Developer course maps the the CCA175. The CCP DE575 is a difficult exam meant to test development mastery. A data analyst taking this exam would be very unhappy. DE575 most closely maps to our Big Data Applications course (plus some years of experience). We currently do not have a certification path that maps to our Data Analyst course, but you should continue to watch the website for announcements. http://www.cloudera.com/training/certification.html 2) Look on the community site for the subject below this one labelled "Spark Scala AND Python" https://community.cloudera.com/t5/General-Questions-Training/CCA175-Spark-Scala-AND-Python/m-p/36070#U36070 3) The testing objectives for our certifications are close to the learning objectives for the courses, and the courses have exercises that will help you practice for the practical nature of the exam. The training is not required, however. 4) There is no Java on the exam, but there is development work that needs to be done. See question 2. You can also see all of the skills required at: http://www.cloudera.com/training/certification/cca-spark.html
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