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GraphQLquery~5 mins

MongoDB with GraphQL - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main purpose of using GraphQL with MongoDB?
GraphQL lets you ask for exactly the data you want from MongoDB, making data fetching efficient and flexible.
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beginner
In GraphQL, what is a resolver's role when working with MongoDB?
A resolver is a function that tells GraphQL how to get data from MongoDB for each query or mutation.
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intermediate
How do you define a GraphQL schema to fetch a list of users from a MongoDB collection?
You define a Query type with a field like users: [User], where User is a type matching MongoDB user documents.
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intermediate
What is the benefit of using GraphQL queries over REST endpoints with MongoDB?
GraphQL queries reduce over-fetching and under-fetching by letting clients specify exactly what fields they want from MongoDB.
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advanced
How can you handle MongoDB ObjectId fields in GraphQL schemas?
You can use custom scalar types or convert ObjectId to strings in resolvers to work smoothly with GraphQL.
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What does a GraphQL resolver do when connected to MongoDB?
ADefines the GraphQL schema types
BRuns MongoDB server
CFetches or modifies data in MongoDB based on the query or mutation
DCreates indexes in MongoDB
Which GraphQL operation is used to retrieve data from MongoDB?
AQuery
BSubscription
CMutation
DDirective
How can you represent MongoDB's ObjectId in a GraphQL schema?
AAs a Boolean
BAs a list
CAs an integer
DAs a custom scalar or string
What is a key advantage of GraphQL over REST when querying MongoDB?
AGraphQL requires no schema
BGraphQL lets clients specify exactly which fields to get
CGraphQL only supports mutations
DGraphQL automatically indexes MongoDB
Which GraphQL type would you use to define a list of MongoDB documents?
AList
BScalar
CObject
DEnum
Explain how GraphQL resolvers interact with MongoDB to fetch data.
Think about how GraphQL knows what data to get from MongoDB.
You got /4 concepts.
    Describe the benefits of using GraphQL queries instead of REST endpoints when working with MongoDB.
    Consider how clients ask for data differently in GraphQL.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main purpose of using GraphQL with MongoDB?
      easy
      A. To store data in tables instead of documents
      B. To replace MongoDB with a SQL database
      C. To automatically backup MongoDB data
      D. To query only the specific data fields needed from MongoDB

      Solution

      1. Step 1: Understand GraphQL's role

        GraphQL allows clients to request exactly the data they want, no more, no less.
      2. Step 2: Connect to MongoDB data

        MongoDB stores flexible documents, and GraphQL queries these documents precisely.
      3. Final Answer:

        To query only the specific data fields needed from MongoDB -> Option D
      4. Quick Check:

        GraphQL queries = precise data retrieval [OK]
      Hint: GraphQL fetches only requested fields from MongoDB [OK]
      Common Mistakes:
      • Thinking GraphQL replaces MongoDB
      • Confusing document storage with tables
      • Assuming GraphQL handles backups
      2. Which of the following is the correct way to define a GraphQL query to fetch a list of users from MongoDB?
      easy
      A. query { users { id name email } }
      B. mutation { users { id name email } }
      C. query users { id name email }
      D. fetch users from MongoDB

      Solution

      1. Step 1: Identify GraphQL query syntax

        GraphQL queries start with the keyword query followed by the selection set.
      2. Step 2: Check the options

        query { users { id name email } } correctly uses query { users { id name email } } to fetch user fields.
      3. Final Answer:

        query { users { id name email } } -> Option A
      4. Quick Check:

        GraphQL query syntax = query + selection set [OK]
      Hint: Queries start with 'query' keyword, mutations with 'mutation' [OK]
      Common Mistakes:
      • Using mutation instead of query for fetching data
      • Omitting braces or keywords
      • Writing invalid syntax like 'fetch users from MongoDB'
      3. Given this GraphQL query to fetch a user by ID:
      query { user(id: "123") { name age } }
      And MongoDB has a user document { _id: "123", name: "Alice", age: 30, city: "NY" }, what will be the query result?
      medium
      A. { "data": { "user": { "name": "Alice", "age": 30 } } }
      B. { "data": { "user": { "name": "Alice", "city": "NY" } } }
      C. { "data": { "user": { "id": "123", "name": "Alice" } } }
      D. { "error": "User not found" }

      Solution

      1. Step 1: Understand the query fields

        The query requests only name and age fields for user with id "123".
      2. Step 2: Match MongoDB document fields

        The document has those fields: name "Alice" and age 30, so those are returned.
      3. Final Answer:

        { "data": { "user": { "name": "Alice", "age": 30 } } } -> Option A
      4. Quick Check:

        Requested fields returned exactly [OK]
      Hint: GraphQL returns only requested fields, ignoring others [OK]
      Common Mistakes:
      • Expecting all document fields returned
      • Confusing id with _id field
      • Assuming error when user exists
      4. You wrote this GraphQL mutation to add a new user:
      mutation { addUser(name: "Bob", age: "25") { id name } }
      But you get an error: "Field 'addUser' argument 'age' of type 'Int!' was provided invalid value." What is the likely cause?
      medium
      A. The mutation syntax is incorrect; should use query instead
      B. The age argument is missing in the schema definition
      C. The age argument was provided as a string, not an integer
      D. The age value 25 is invalid because it is too low

      Solution

      1. Step 1: Analyze the error message

        The error says the 'age' argument type is 'Int!' but the value is invalid.
      2. Step 2: Analyze the query literal

        The query provides age: "25" as a string literal, but the schema expects an integer literal for Int!, causing the invalid value error.
      3. Final Answer:

        The age argument was provided as a string, not an integer -> Option C
      4. Quick Check:

        Type mismatch in argument causes invalid value error [OK]
      Hint: Match argument types exactly as schema defines [OK]
      Common Mistakes:
      • Using query instead of mutation for data change
      • Ignoring schema argument types
      • Assuming numeric values are always valid
      5. You want to update a user's city in MongoDB using GraphQL. The schema defines a mutation:
      updateUser(id: ID!, city: String!): User
      Which resolver code snippet correctly updates the city field in MongoDB?
      hard
      A. return UserModel.updateOne({ id }, { city });
      B. return UserModel.findByIdAndUpdate(id, { city }, { new: true });
      C. return UserModel.findOneAndDelete({ _id: id });
      D. return UserModel.insertOne({ id, city });

      Solution

      1. Step 1: Identify correct MongoDB update method

        findByIdAndUpdate updates a document by its _id and returns the updated document.
      2. Step 2: Check options for update and return

        return UserModel.findByIdAndUpdate(id, { city }, { new: true }); uses findByIdAndUpdate with { new: true } to return updated user, matching schema.
      3. Final Answer:

        return UserModel.findByIdAndUpdate(id, { city }, { new: true }); -> Option B
      4. Quick Check:

        Use findByIdAndUpdate to update and return new doc [OK]
      Hint: Use findByIdAndUpdate with { new: true } to get updated doc [OK]
      Common Mistakes:
      • Using updateOne without returning updated document
      • Deleting instead of updating
      • Inserting new document instead of updating existing
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