Câu 21: C100DEV: MongoDB Associate Developer

Given the following sample documents in the HR collection:{ “name” : “A.S”, “age” : 23, “hobby” : [ “soccer”, “basketball” ] },{ “name” : “B.M”, “age” : 36, “hobby” : [ “soccer”, “baseball” ] },{ “name” : “C.W”, “hobby” : [ “basketball”, “cycling” ] },{ “name” : “R.S”, “age” : 30, “hobby” : [ “soccer”, “cycling”, “baseball” ] },{ “name” : “E.M”, “age” : 25, “hobby” : [ “cycling”, “basketball” ] }What is the output of -db.HR.find( { age: { $in: [ 25, 36 ] } }, { _id: 0 } )

1. A. { “name” : “E.M”, “age” : 25, “hobby” : [ “cycling”, “basketball” ] }{ “name” : “R.S”, “age” : 30, “hobby” : [ “soccer”, “cycling”, “baseball” ] }{ “name” : “B.M”, “age” : 36, “hobby” : [ “soccer”, “baseball” ] }
2. B. { “name” : “R.S”, “age” : 30, “hobby” : [ “soccer”, “cycling”, “baseball” ] }
3. C. { “name” : “B.M”, “age” : 36, “hobby” : [ “soccer”, “baseball” ] }
4. D. { “name” : “E.M”, “age” : 25, “hobby” : [ “cycling”, “basketball” ] }
5. E. { “name” : “B.M”, “age” : 36, “hobby” : [ “soccer”, “baseball” ] }{ “name” : “E.M”, “age” : 25, “hobby” : [ “cycling”, “basketball” ] } — đáp án hiện tại