C100DBA MongoDB Certified DBA Associate Exam is for database aspirants who prefer to start their pilot effort in NoSQL and big data space. This is the fastest growing arena and is gaining popularity at lighting pace. MongoDB the document based NoSQL database is gaining popularity among big data users and the certification credential demonstrates the abilities of an individual to perform job duties as a DBA.
As per MongoDB, this exam is for DBA’s who have knowledge and understand the mongoDB concepts.This exam course topics are geared towards administrators and can be useful to someone who is in operations, support, database administration as well as quality assurance engineers, business analysts who prefer to start learning NoSQL database
Give some information on the exam:-
As of date, this exam is based on MongoDB 3.0 the latest version of MongoDB
This exam is delivered online and can be taken in proctor centre
So, what exactly is needed to attempt and clear the exam?
C100DBA MongoDB Certified DBA Associate Exam is still in associate level. As per mongodb the official exam provide to attempt and clear the exam the candidates must possess the following skills
1) Fundamental database and system programming concepts – MongoDB is a database. Though branded as NoSQL most of the concepts are derived out of reationalmodel. This knowledge helps
3) MongoDB database concepts – These are the topics that are confined to MongoDB to name a few like sharing, indexing, aggregation, replication, server administration etc
What mongodb topics are covered in exam?
This is at MongoDB associate level and will give a ticket to enter the ocean of NoSQL databases. Some interesting topics include
Basics of NoSQL databases : performance benefits,JSON, BSON, fault tolerance, disaster recovery, horizontal scaling, and the Mongo shell
Create, Read, Update, and Delete (CRUD) operations
Indexing: single key, compound, multi-key, mechanics, and performance
Aggregation: pipeline, operators, memory usage, sort, skip, and limit
Replication: configuration, oplog concepts, write concern, elections, failover, and deployment to multiple data centers
Sharding: components, when to shard, balancing, shard keys, and hashed shard keys
Application Administration: data files, journaling, authentication, and authorization
Server Administration: performance analysis, diagnostics and debugging, maintenance, backup, and recovery