MongoDB Quiz

The difference between $push and $addToSet is:

The following aggregation option is used to specify the specific fields that needs to be passed to the next stage of the aggregation pipeline:

Which of the following operators can reverse the effects of a double unwind operation?

Which of the following MongoDB query is equivalent to the following SQL query:

UPDATE users SET status = “C” WHERE age > 25

What is the minimum sensible number of voting nodes to a replica set?

Which of the following aggregation query will sort the posts collection with author key ascending:

By default, the MongoDB cursor in mongo shell is configured to return how many documents? To get the next set of documents, which command is used?

Which of the following is not a system collection in MongoDB?

What is the maximum size of Index Key Limit and Number of Indexes per collection?

Which of the following command inside aggregate command is used in MongoDB aggregation to filter the documents to pass only the documents that match the specified condition(s) to the next pipeline stage.

Which is the default mode in which the explain() command runs?

Which of the following SQL terminology is same as $match in MongoDB?

Which of the following replica sets vote in the election of a primary replica set?

Which option can be used with update command so that a new document gets created if no matching document is found based on the query condition?

What is the maximum size of a MongoDB document?

Which of the following methods can be used in MongoDB for relation documents?

Consider a collection posts which has fields: _id, post_text, post_author, post_timestamp, post_tags etc. Which of the following query retrieves ONLY the key named post_text from the first document retrieved?

Which of the following commands can cause the database to be locked?

In our posts collection, which command can be used to find all the posts whose author names begin lie between A and C in dictionary order?

What does the following MongoDB command return?

db.posts.find( { likes : { $gt : 100 }, likes : { $lt : 200 } } );