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| Section | Objectives |
|---|
| Topic 1: Replication | - Replica Sets
- 1. Write Concerns
- 2. Elections
- 3. Read Preferences
- 4. Primary and Secondary Nodes
|
| Topic 2: Application Administration | - Security and Access Control
- 1. User Management
- 2. Role-Based Access Control
- 3. Authentication
- 4. Authorization
|
| Topic 3: Philosophy and Features | - MongoDB Architecture
- 1. Collections and Databases
- 2. Document Model
- 3. Scalability Concepts
- 4. High Availability Concepts
|
| Topic 4: Server Administration | - Database Operations
- 1. Backup and Restore
- 2. Configuration Management
- 3. Storage Management
- 4. Monitoring
|
| Topic 5: CRUD Operations | - Data Manipulation
- 1. Read Queries
- 2. Insert Operations
- 3. Delete Operations
- 4. Update Operations
|
| Topic 6: Sharding | - Cluster Scaling
- 1. Balancer Operations
- 2. Chunk Distribution
- 3. Shard Keys
- 4. Query Routing
|
| Topic 7: Indexes | - Index Management
- 1. Compound Indexes
- 2. Single Field Indexes
- 3. Index Selection
- 4. Query Performance Optimization
|
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To help you prepare for C100DBA examination certification, we provide you with a sound knowledge and experience. The questions designed by Prep4sureGuide can help you easily pass the exam. The Prep4sureGuide MongoDB C100DBA practice including C100DBA exam questions and answers, C100DBA test, C100DBA books, C100DBA study guide.
MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q49-Q54):
NEW QUESTION # 49
Which of the documents below will be retrieved by the following query? Assume the documents are stored in a collection called " sample " . Check all that apply.
db.sample.find( { " $or " : [ { " a " : { " $in " : [ 3, 10] > }, { " b " : { " $lt " : 2 > > ] > )
- A. { " .Jd " :: 8, " a " : 11, " c " : 1, " b " : 0}
- B. { ' ' __id " :3, " a " : 4, " c " :0, " b " :14}
- C. { " .Jd " :: 5, " a " : 3, " c " :: 0, " b " : 12}
- D. { " .Jd " :: 2, " a " : 2, " c " :: 0, " b " : 1}
- E. { " .Jd " :: 4, " a " : 5, " c " :: 0, " b " : 17}
- F. { \Jd " :10, " a " : 3, " c " : 1, " b " : 1}
- G. { " .Jd " :6, " a " : 1, " c " :1, " b " :5}
- H. { ' ' _Jd " :7, " a " : 8, " c " :1, " b " :7}
- I. { " .Jd " :: 1, " a " : 0, " c " :: 0, " b " : 2}
- J. { ' ' \Jd " :9, " a " : 17, " c " : 1, " b " : 1}
Answer: A,C,D,F,J
NEW QUESTION # 50
MongoDB is a schema-less design.
Answer: A
NEW QUESTION # 51
Consider an orders collection that contains these documents:
{ _id: 1, product: " X-pad " , quantity: 950 }
{ _id: 2, product: " X-pad-pro " , quantity: 1000 }
{ _id: 3, product: " X-phone " , quantity: 850 }
{ _id: 4, product: " X-phone-pro " , quantity: 1350 }
Commands A and B are run at the same time. Assume that no other operations are running.
- A. findAndModify output shows quantity 1250; final X-phone quantity is 1250 while all others are 0.
- B. )db.orders.updateMany({}, { $set: { " quantity " : 0 } })What is the possible findAndModify output and database state after these operations complete? Select TWO.
- C. findAndModify output shows quantity 0; final X-phone quantity is 1250 while all others are 0.
- D. findAndModify output shows quantity 0; final quantities for all four documents are 0.
- E. findAndModify output shows quantity 850; final quantities for all four documents are 0.
- F. )db.orders.findAndModify({query: { " product " : " X-phone " },update: { $set: { " quantity " : 1250 }
}})
Answer: B,E
Explanation:
The result depends on how the two concurrent operations interleave at document _id:3. MongoDB guarantees atomicity for each individual document write, but updateMany() is not atomic across the complete set of matching documents. Other operations can run between its per-document modifications. findAndModify also returns the pre-modification version of the selected document by default unless configured to return the updated version. If findAndModify reaches the X-phone first, it observes quantity 850, returns that pre-image, and sets the value to 1250. The concurrent updateMany() can subsequently reach the same document and set it to 0, producing option B. In another valid interleaving, updateMany() first sets the X-phone quantity to 0.
findAndModify then selects that document, returns the pre-image showing 0, and sets the value to 1250.
Because updateMany() has already processed that document, the final value can remain 1250, producing option D. Options A and C do not correctly reflect the default pre-image return behavior together with the possible per-document interleavings. Therefore B and D are both valid outcomes.
Study Guide reference/topic:MongoDB Architecture and Core Operations - single-document atomicity, concurrent writes, findAndModify, and updateMany.
NEW QUESTION # 52
By default, the MongoDB cursor in mongo shell is configured to return how many documents? To get the next set of documents, which command is used?
- A. 200, more
- B. No limit, none
- C. 20, it
- D. 50, it
Answer: C
NEW QUESTION # 53
A database administrator maintains a MongoDB database that stores scientific papers. A paper with DOI
10.1000/xyz123 is no longer relevant and needs to be removed.
What query should the administrator use to delete the paper with the DOI equal to 10.1000/xyz123?
- A. db.scientificPapers.findOneAndDelete({ scientificPapers: " orders " , doi: " 10.1000/xyz123 " })
- B. db.scientificPapers.drop({ doi: " 10.1000/xyz123 " })
- C. db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " })
- D. db.scientificPapers.deleteOne({ scientificPapers: " orders " }, { doi: " 10.1000/xyz123 " })
Answer: C
Explanation:
db.collection.deleteOne() deletes a single document that matches the supplied filter, so the direct operation is db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " }). The DOI is the identifying criterion, and no additional filter is required. Option A is dangerous and incorrect: drop() removes the entire collection and its indexes rather than deleting a filtered document. Option B uses findOneAndDelete(), which can delete a single matching document, but the displayed filter also requires a nonexistent or inappropriate field/value pair, scientificPapers: " orders " , so the target document would not match. Option D misunderstands the method signature. The second argument to deleteOne() is an options document for settings such as write concern, collation, or hint; it is not a second query predicate. In production, a unique index on DOI could also ensure that the business identifier is unique and make the deletion highly selective. Among the presented commands, only option C cleanly and correctly deletes the one scientific-paper document identified by the specified DOI.
Study Guide reference/topic:MongoDB Architecture and Core Operations - delete operations, deleteOne(), filters, and collection management.
NEW QUESTION # 54
......
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