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MongoDBquery~10 mins

explain method for query analysis in MongoDB - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to analyze a MongoDB query using the explain method.

MongoDB
db.collection.find({ name: 'Alice' }).[1]()
Drag options to blanks, or click blank then click option'
Aexplain
Bexecute
Crun
Danalyze
Attempts:
3 left
💡 Hint
Common Mistakes
Using run() or execute() instead of explain()
Forgetting to call the method with parentheses
2fill in blank
medium

Complete the code to get the execution stats of a query using explain.

MongoDB
db.collection.find({ age: { $gt: 25 } }).explain('[1]')
Drag options to blanks, or click blank then click option'
Aperformance
Bdetailed
Csummary
DexecutionStats
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'detailed' or 'summary' which are not valid verbosity options
Passing no argument or wrong string
3fill in blank
hard

Fix the error in the code to correctly use explain with verbosity.

MongoDB
db.collection.find().explain([1])
Drag options to blanks, or click blank then click option'
AexecutionStats
B'executionStats'
C'detailed'
Dtrue
Attempts:
3 left
💡 Hint
Common Mistakes
Passing the verbosity without quotes causing syntax error
Using invalid verbosity values
4fill in blank
hard

Fill both blanks to explain a query with 'allPlansExecution' verbosity and filter by status 'active'.

MongoDB
db.users.find({ status: '[1]' }).explain('[2]')
Drag options to blanks, or click blank then click option'
Aactive
Binactive
CallPlansExecution
DexecutionStats
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong status value
Using wrong verbosity string
5fill in blank
hard

Fill all three blanks to explain a query on 'products' collection filtering price > 100 with 'queryPlanner' verbosity.

MongoDB
db.[1].find({ price: { $[2]: 100 } }).explain('[3]')
Drag options to blanks, or click blank then click option'
Aproducts
Bgt
CqueryPlanner
Ditems
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong collection name
Using wrong operator like 'lt' or 'gte'
Using wrong verbosity string

Practice

(1/5)
1. What is the main purpose of the explain method in MongoDB?
easy
A. To show how MongoDB executes a query and if indexes are used
B. To delete documents matching a query
C. To update documents in a collection
D. To create a new index on a collection

Solution

  1. Step 1: Understand the role of explain

    The explain method is used to analyze how MongoDB runs a query, including index usage and document scanning.
  2. Step 2: Compare with other options

    Deleting, updating, or creating indexes are different operations and not related to query analysis.
  3. Final Answer:

    To show how MongoDB executes a query and if indexes are used -> Option A
  4. Quick Check:

    explain shows query execution details = C [OK]
Hint: explain shows query plan and index use [OK]
Common Mistakes:
  • Confusing explain with update or delete operations
  • Thinking explain modifies data
  • Assuming explain creates indexes
2. Which of the following is the correct syntax to use the explain method on a find query in MongoDB?
easy
A. db.collection.find().explain()
B. db.collection.explain.find()
C. db.collection.find.explain()
D. db.explain.collection.find()

Solution

  1. Step 1: Recall the correct method chaining

    In MongoDB, explain() is called after the query method, so db.collection.find().explain() is correct.
  2. Step 2: Identify incorrect chaining

    Options A, C, and D incorrectly place explain before or inside the query method, which is invalid syntax.
  3. Final Answer:

    db.collection.find().explain() -> Option A
  4. Quick Check:

    explain called after find() = B [OK]
Hint: Call explain() after the query method like find() [OK]
Common Mistakes:
  • Placing explain before find()
  • Using explain as a collection method
  • Missing parentheses on explain()
3. Given the query db.users.find({ age: { $gt: 30 } }).explain(), what information does the output primarily provide?
medium
A. The number of documents with age greater than 30
B. How MongoDB searched documents and if an index was used
C. The exact documents returned by the query
D. The total size of the users collection

Solution

  1. Step 1: Understand what explain outputs

    The explain() method shows the query plan, including whether indexes were used and how many documents were scanned.
  2. Step 2: Differentiate from query results

    It does not return the actual documents or collection size, only query execution details.
  3. Final Answer:

    How MongoDB searched documents and if an index was used -> Option B
  4. Quick Check:

    explain shows query plan, not data = A [OK]
Hint: explain shows query plan details, not actual data [OK]
Common Mistakes:
  • Expecting explain to return documents
  • Confusing explain output with collection stats
  • Thinking explain counts matching documents
4. You run db.orders.find({ status: 'shipped' }).explain but get an error. Which of the following is the most likely cause?
medium
A. The explain method must be called on the collection, not the query
B. The collection orders does not exist
C. The query filter syntax is invalid
D. You forgot parentheses after explain, it should be explain()

Solution

  1. Step 1: Check syntax of explain usage

    The explain method requires parentheses to be called as a function: explain().
  2. Step 2: Verify other options

    Calling explain on the query is correct, the filter syntax is valid, and collection existence would cause a different error.
  3. Final Answer:

    You forgot parentheses after explain, it should be explain() -> Option D
  4. Quick Check:

    explain needs () to run = D [OK]
Hint: Always use explain() with parentheses [OK]
Common Mistakes:
  • Calling explain without ()
  • Thinking explain is a collection method
  • Assuming query filter is wrong without checking
5. You want to optimize a slow query on the products collection. After running db.products.find({ category: 'books' }).explain('executionStats'), you see a high number of documents examined but few returned. What should you do next?
hard
A. Rewrite the query to use aggregate() instead of find()
B. Increase the batch size of the query to reduce network calls
C. Create an index on the category field to speed up filtering
D. Drop the products collection and recreate it

Solution

  1. Step 1: Analyze explain output for optimization clues

    A high number of documents examined but few returned means MongoDB is scanning many documents without using an index efficiently.
  2. Step 2: Choose the best optimization action

    Creating an index on the category field helps MongoDB quickly find matching documents, reducing scanned documents and speeding up the query.
  3. Final Answer:

    Create an index on the category field to speed up filtering -> Option C
  4. Quick Check:

    High docs examined means add index = A [OK]
Hint: High docs examined? Add index on filter field [OK]
Common Mistakes:
  • Ignoring index creation for slow queries
  • Trying unrelated query changes without index
  • Dropping collection unnecessarily
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10 questions~5 mineasy hard