Cracking a Facebook interview can be a tough pill to swallow. However, with a tight technical preparation and a cool head, you can gain a working opportunity at the world’s biggest social media giant.
The tag line of Jenkins, “Build great things at any scale” aptly describes what Jenkins does. You might have read in many blogs and articles about how Jenkins helps in continuous integration thereby helping developers and testers work in tandem to create a robust software. But what is continuous integration?
MongoDB is a document-based database created in 2007 by 10gen software. It works on the concept of collections and documents. A MongoDB server can contain multiple databases and offers high performance along with redundancy and easy scalability. Collection in MongoDB can be considered as a group of documents that can have different types of fields. The document is a set of key-value pairs having a dynamic schema i.e. common fields may hold different types of data and all documents in the same collection need not have the same structure. If you are new to MongoDB but have worked with RDBMS like SQL before, this small table will help you correlate the terminologies –
Hearing about an interview always makes us feel jittery. But we all know quite well that the entire process is worth suffering for as you may just end up getting your dream job. A machine learning interview is no exception. It needs a whole lot of preparation and perseverance.
PL (Procedural language) is an extension to SQL (Structured Query Language) where a developer can write complex database interactions using procedures, control structures like branching and iteration, modules and functions. It has tight integration with SQL and supports both dynamic and static SQL.
Amongst other questions during an interview, it is also important to know how SQL and PL/SQL are different. Some benefits of PL/SQL over SQL are –