Criteria
No. of credits | 10 | |
Mode of training |
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Criteria to attain credits |
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Final Assessment Format | Descriptive Test | |
Assessment duration | 2 hours 30 mins | |
Pass percentage | 70% | |
Installations required | Install PySpark Locally | |
Does the assessment require answer script submission | Program PoC to coordinate for descriptive test and other details for answer script submission | |
Mode of score collation | Program PoC to coordinate for descriptive test | |
Special accesses required |
Server : INBAAVVMMSUSQL Username : msu_user (all lower case) Password : Password@123 (capital P) Database – Testing |
Final Assessment – Rubrics & Weightage
Section 1 |
This section tests the theoretical understanding of a person. This section expects the person to know the basics spark core concepts and apply the same knowledge during code building | |
Section 2 |
This section tests the understanding of a person on RDD concepts. There are key differences between few inbuilt pyspark functions which can be applied on DF as well as RDD and this section tests the implementation capabilities of a candidate on RDD. | |
Section 2 |
The approach taken by the analyst should be the best possible approach available to tackle the problem he/she is faced with.
This section expects the test taker to be well versed in PySpark to understand the problem statement and formulate Solution. It is aimed to be a close simulation of PySpark Implementation in delivery accounts. |