MCSA SQL Database Administrator 2016


MCSA SQL Database Administrator 2016 certification course from Koenig aims to impart core knowledge and skills on administering and provisioning SQL Server 2016 database. Microsoft Certified Solutions Associate certification on SQL 2016 Database will equip participants with the requisite skill-set to manage and oversee database operations in an enterprise department.

Audience: Completing this MCSA SQL 2016 certification will enable entry level IT professionals to become SQL database administrators. 

MCSA SQL Database Administrator 2016 consist of following courses

Course Name Duration (days)
Administering a SQL Database Infrastructure Download Content
Provisioning SQL Databases Download Content
Total 10
Schedule & Prices
Course Details Schedule
Classroom Training*
Duration : 10 Days
Fee : Dubai: $5,220 , India: $3,591
16-27 (Chennai)
20-31 (Chennai)
06-17 (Delhi)
20-30 (Goa)
03-14 (Delhi)
02-13 (Delhi)
Instructor-Led Online Training
Duration : 10 Days
Fee : $4,660
* Prices applicable only for Indian residents with residency proof. 18% GST additional.
MCSA SQL Database Administrator 2016 Review Benefits

Upon Completion of this Course, you will accomplish following:

This MCSA certification can be acquired by passing two exams, for which Koenig provides training on each of these modules:

  • 20764: Administering a SQL Database Infrastructure (SQL Server 2016)
  • 20765A: Provisioning SQL Databases

Give an edge to your career with Microsoft certification training courses. Students can join the classes for MCSA SQL Database Administrator 2016 Training & Certification Course at Koenig Campus located at New Delhi, Bengaluru, Shimla, Goa, Dehradun, Dubai & Instructor-Led Online.

Verbatim Student Feedback

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training?

Student Name Country Month Feedback Rating
Frank Eugen Chuwa Tanzania Sep-2019 A2. Koenig has offered to me Professional service from training lab, materials, cleaness, great and highly knowledgable instructors, food and accomodation, I surely enjoyed every moment in Koenig. I also enjoy extra activities like touring Taj Mahal etc.
Darshan Patel India Sep-2019 A1. Good knowledge. but taking breaks many time in day
Satish Kokitkar India May-2019 A2. I observed training labs are quite perfect, training conducted as per scheduled timing as per committed, other resources are also good and satisfactory. All staff are co-operative and helpful.
Marius Nyirimbibi Rwanda Mar-2019 wish to continue remaining courses in order to be MCSA certified
Balraj Sanghera United Kingdom Mar-2019 The centre was in the right location and was Micosoft certified.
Dan Morres Germany Jan-2019 The quality of courses for the price cannot be beat
Nwabufo Samuel Ezika Nigeria Jan-2019 Excellent Instructors and Excellent Hospitality Skills


SQL stands for Structured Query Language and is used to access and manipulate databases. It is considered as the standard language for Relational Database Management Systems (RDBMS). SQL statements such as select, add, insert, update, delete, create and alter are used to modify database table and index structures; add, update and delete rows of data; and retrieve data from a database.

SQL is a language but not at par with other programming languages such as Java or C++. SQL is considered to be a fourth generation language used to access databases such as SQL, whereas Java, C++ and other programming languages are third generation languages. Fourth generation languages are closer to human language than other high-level languages like Java.

The job positions that one can apply for are:

  • Database Administrator (DBA) – responsible for maintaining a SQL Server database
  • Database Developer – designs and implements databases
  • Data Scientist – responsible for managing big data to drive businesses forward
  • BI Application Developer – responsible for data warehousing, reporting and data transformations, and handling query languages
  • Big Data Expert – works with Big Data tools that require SQL proficiency
  • Data Analyst – creates key performance indicators to understand data