MongoDB Certified Developer Associate - C100DEV Free Exam Questions

A. db.routes.find( { airplane: 'CNC' } ).sort( { src_airport: 1, dst_airport: 1 } )

B. db.routes.find( { airplane: 'CNC', src_airport: { $gt: 'C' } } ).sort( { src_airport: 1 } )

C. db.routes.find( { airplane: 'CNC' } ).sort( { dst_airport: 1 } )

A. As an index scan.

B. None of these.

C. As a collection scan.

A. db.sales.find( { 'items.tags.0': 'office' } )

B. db.sales.find( { 'items.tags.[0]': 'office' } )

C. db.sales.find( { 'items.tags$0': 'office' } )

A. MongoDB Atlas includes many tools and services specifically designed for the MongoDB database.

B. MongoDB Atlas is a MongoDB service that can work with any database.

A. mongod -f mongod.conf

B. mongod --conf mongod.conf

C. mongod --use mongod.conf

D. mongod --config mongod.conf

A. Because documents with the same shard key will be placed in the same chunk. This can result in a very big chunk.

B. It's not important. Low cardinality is just as good as high cardinality.

A. db.developers.find( {}, { tech_stack: [0, 3] } )

B. db.developers.find( {}, { tech_stack: { $slice: [0, 3] } } )

C. db.developers.find( {}, { tech_stack: [0, 1, 2] } )

D. db.developers.find( { tech_stack: { $slice: [0, 3] } } )

A. db.hotels.createIndex( { "match": 1 } )

B. db.hotels.createIndex( { "stars": 1 } )

C. In this case, the index could not be created.

A. $lookup

B. $out

C. $group

A. 0

B. 1

C. 3

D. 2

A. An aggregation pipeline is an array of stages.

B. The aggregation pipeline cannot operate on a sharded collection.

C. Aggregation Framework does not have the group stage for grouping data.

D. The Aggregation Framework provides us many stages to filter and transform data.

E. An aggregation pipeline consists of one or more stages that process documents.

A. Indexes cannot decrease insert throughput.

B. Indexes don't have to be completely stored in RAM, but permanent disk access to retrieve index information will have a performance impact.

C. For the fastest processing, we should make sure our indexes fit entirely in RAM.

A. It doesn't matter when we apply $match stage.

B. The earlier in the pipeline, the better. Not only because we will be using expression filters which reduce the number of documents to be processed, but also because we can use indexes.

C. The later in the pipeline, the better.

A. BSON is faster to parse and lighter to store than JSON.

B. BSON supports as many data types as JSON.

C. MongoDB stores data in BSON, and we can view it in JSON.

D. MongoDB stores data in JSON, and we can view it in BSON.

E. BSON supports more data types than JSON.