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NEW QUESTION # 35
Select all true statements about text search in MongoDB.

• A. To perform text searches on a collection we use $text operator.
• B. Text indexes cannot include any field whose value is an array of string elements.
• C. To perform text search queries, you must have a text index on your collection.
• D. Text indexes can include any field whose value is a string.
• E. A collection can only have one text search index, but that index can cover multiple fields.
• F. MongoDB provides text indexes to support text search queries on string content.

Answer: A,C,D,E,F

Explanation:
https://docs.mongodb.com/manual/text-search/

NEW QUESTION # 36
Select all true statements regarding to pipelines and the Aggregation Framework.

• A. Aggregation Framework does not have the group stage for grouping data.
• B. An aggregation pipeline consists of one or more stages that process documents.
• C. The aggregation pipeline cannot operate on a sharded collection.
• D. The Aggregation Framework provides us many stages to filter and transform data.
• E. An aggregation pipeline is an array of stages.

Answer: B,D,E

Explanation:
https://docs.mongodb.com/manual/aggregation/

NEW QUESTION # 37
Which of the following statements are true regarding MongoDB views?

• A. Write operations to views will raise an error.
• B. Views are write only.
• C. MongoDB views are created on demand and reflect the data in the source collection.
• D. MongoDB views themselves don't contain data.
• E. Views are read only.

Answer: A,C,D,E

Explanation:
https://docs.mongodb.com/manual/core/views/

NEW QUESTION # 38
Select all true statements about one-to-zillions relationships (a special case of the one-to-many relationship in MongoDB).

• A. This relationship is created to emphasize the fact that huge cardinalities can impact design choices.
• B. Representing this relationships with document embedding is not recommended.
• C. We need to be extremely careful when writing queries that retrieve data on the zillions side.

Answer: A,B,C

Explanation:
https://docs.mongodb.com/manual/tutorial/model-embedded-one-to-many-relationships-between-documents/

NEW QUESTION # 39
What is data modeling in MongoDB world?

• A. A way to show your database with graphs.
• B. A way to organize fields in a document to support your application performance and querying capabilities.
• C. A way to build your application based on how your data is stored.
• D. A way to decide whether to store your data in the cloud or locally.

Answer: B

Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/

NEW QUESTION # 40
You have a configuration file for mongod instance called mongod.conf in your working directory. How can you launch mongod instance with this configuration file?

• A. mongod --conf mongod.conf
• B. mongod -f mongod.conf
• C. mongod --use mongod.conf
• D. mongod --config mongod.conf

Answer: B,D

Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/#use-the-configuration-file

NEW QUESTION # 41
A collection called players contains documents with the following structure: { _id: 1, user: 'Tom', scores: [ 23, 56, 3, 52, 62 ], bonus: 5 } { _id: 2, user: 'Jane', scores: [ 42, 50, 10 ], bonus: 3 } You have the following query: db.players.aggregate([{ $addFields: { total_score: { $sum: '$scores' }, avg_score: { $avg: '$scores' } } }, { $addFields: { total_score_with_bonus: { $add: ['$total_score', '$bonus'] } } }, { $match: { bonus: { $gt: 4 } } }]) How can you optimize this query?

• A. Moving the $match stage to the beginning of the pipeline. [{ $match: { bonus: { $gt: 4 } } }, { $addFields: { total_score: { $sum: '$scores' }, avg_score: { $avg: '$scores' } } }, { $addFields: { total_score_with_bonus: { $add: ['$total_score', '$bonus'] } } }]
• B. Moving the $match stage to the second stage of this pipeline. [{ $addFields: { total_score: { $sum: '$scores' }, avg_score: { $avg: '$scores' } } }, { $match: { bonus: { $gt: 4 } } }, { $addFields: { total_score_with_bonus: { $add: ['$total_score', '$bonus'] } } }]
• C. This query cannot be optimized.

Answer: A

Explanation:
https://docs.mongodb.com/manual/reference/operator/aggregation/match/ https://docs.mongodb.com/manual/core/aggregation-pipeline-optimization/

NEW QUESTION # 42
Select all true statements about covered queries.

• A. Covered queries don't use indexes.
• B. For a covered query, you service the operation entirely from the index, which is usually faster than checking each document.
• C. All fields returned in the result must be in the index used by the query.
• D. All fields used in a query filter must be in the index used by the query.

Answer: B,C,D

Explanation:
https://docs.mongodb.com/manual/core/query-optimization/#covered-query

NEW QUESTION # 43
Why is MongoDB using BSON instead of JSON to store data? Select all that apply.

• A. BSON format is not human readable (BSON is machine-readable only).
• B. BSON contains metadata to describe a document/object.
• C. BSON simply means 'Binary JSON'.
• D. BSON supports more data types than JSON.

Answer: A,B,C,D

Explanation:
https://www.mongodb.com/json-and-bson

NEW QUESTION # 44
Suppose you have a movies collection with the following document structure: { _id: ObjectId("573a1390f29313caabcd60e4"), title: 'The Immigrant', fullplot: "Charlie is on his way to the USA. He wins in a card game, puts the money in Edna's bag (she and her sick mother have been robbed of everything). When he retrieves a little for himself he is accused of being a thief. Edna clears his name. Later, broke, Charlie finds a coin and goes into a restaurant." } You want to sort result set by a relevance score computed by MongoDB in text search query and extract only three documents with the highest score. Which query do you need to use?

• A. db.movies.find( { $text: { $search: 'spaceship' } }, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } )
• B. db.movies.find( {}, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } ).limit(3)
• C. db.movies.find( { $text: { $search: 'spaceship' } }, { score: { $meta: 'textScore' } }, ).sort( { score: { $meta: 'textScore' } } ).limit(3)

Answer: C

Explanation:
https://docs.mongodb.com/manual/text-search/ https://docs.mongodb.com/manual/core/index-text/

NEW QUESTION # 45
How to shutdown the server? (Mongo shell)

• A. use admin
• B. use admin
• C. use admin
• D. db.shutdownServer()
• E. db.shutdown()
• F. db.disconnect()

Answer: D

Explanation:
https://docs.mongodb.com/manual/reference/method/db.shutdownServer/

NEW QUESTION # 46
Select true statements about the naming convention of collections in MongoDB.

• A. Collection names should not contain $ sign.
• B. Don't create collections that start with system.
• C. Empty string '' cannot be a collection name.

Answer: A,B,C

NEW QUESTION # 47
What is MongoDB Compass?

• A. Special data type in MongoDB to store geospatial data.
• B. A map-based chart type that is available with MongoDB Charts.
• C. It is a GUI for MongoDB.

Answer: C

Explanation:
https://docs.mongodb.com/compass/current/

NEW QUESTION # 48
Suppose we have a products collection with the following fields and values: _id (automatically created ObjectId) product_code (unique values for each product) color (as String values) size (this field is missing for some products) origin_country Which of these fields would be the best shard key?

• A. color
• B. size
• C. _id
• D. product_code
• E. origin_country

Answer: D

Explanation:
With color, size, and origin_country we run the risk of low cardinality. The _id wouldn't make a good shard key because it isn't something meaningful we could query the database. https://docs.mongodb.com/manual/core/sharding-shard-key/

NEW QUESTION # 49
In which of the following CRUD operations can you specify a write concern? Select all that apply.

• A. db.collection.update()
• B. db.collection.insert()
• C. db.collection.updateMany()
• D. db.collection.find()
• E. db.collection.insertOne()

Answer: A,B,C,E

Explanation:
https://docs.mongodb.com/manual/reference/write-concern/

NEW QUESTION # 50
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