C100DBA Simulationsfragen - C100DBA Zertifikatsfragen

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MongoDB C100DBA Exam Syllabus Topics:

SectionObjectives
Topic 1: Indexes- Index Management
  • 1. Compound Indexes
  • 2. Index Selection
  • 3. Single Field Indexes
  • 4. Query Performance Optimization
Topic 2: Application Administration- Security and Access Control
  • 1. Authentication
  • 2. Authorization
  • 3. User Management
  • 4. Role-Based Access Control
Topic 3: Server Administration- Database Operations
  • 1. Configuration Management
  • 2. Backup and Restore
  • 3. Storage Management
  • 4. Monitoring
Topic 4: Sharding- Cluster Scaling
  • 1. Shard Keys
  • 2. Query Routing
  • 3. Balancer Operations
  • 4. Chunk Distribution
Topic 5: CRUD Operations- Data Manipulation
  • 1. Read Queries
  • 2. Insert Operations
  • 3. Update Operations
  • 4. Delete Operations
Topic 6: Replication- Replica Sets
  • 1. Read Preferences
  • 2. Elections
  • 3. Primary and Secondary Nodes
  • 4. Write Concerns
Topic 7: Philosophy and Features- MongoDB Architecture
  • 1. Scalability Concepts
  • 2. Collections and Databases
  • 3. Document Model
  • 4. High Availability Concepts

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) C100DBA Prüfungsfragen mit Lösungen (Q166-Q171):

166. Frage
What does the following $slice query return using the following command? db.posts.find( {}, { comments: { $slice: [ -10, 5 ] } } )

Antwort: D


167. Frage
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?

Antwort: A

Begründung:
When MongoDB ' s winning query plan uses a B-tree index, the plan includes an IXSCAN stage. That stage contains the index-specific information a DBA needs to identify how the query is being serviced, including the key pattern, index name, traversal direction, and index bounds. For example, keyPattern can show a compound definition such as { status: 1, createdAt: -1 }, making it straightforward to confirm which indexed keys participate in the chosen plan. A FETCH stage indicates that MongoDB is retrieving full documents, often after an index has produced candidate record identifiers; the fetch stage itself does not identify the index key. A COLLSCAN stage means MongoDB is scanning the collection and therefore is not using a normal index scan for the predicate. GROUP is unrelated to index selection. Effective DBA query analysis usually involves inspecting both queryPlanner.winningPlan and execution statistics such as totalKeysExamined, totalDocsExamined, and nReturned. But for the narrow question of which stage exposes the index key used by the winning plan, IXSCAN is the correct answer. Therefore option C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain output, winning plans, IXSCAN, key patterns, and index bounds.


168. Frage
What command set removes node-1.cluster1.mycompany.local:27017 and node-2.cluster1.mycompany.local:
27017 from the replica set, then adds node-1.cluster1.mycompany.local:27017 back to the replica set?

Antwort: A

Begründung:
The supported mongosh helpers for replica-set membership changes are rs.remove() and rs.add(). rs.remove (hostname) removes the member whose host string matches the supplied host:port, while rs.add() adds a new member using either a host string or a member configuration document that includes a host field. Option C uses those documented methods in the required sequence: remove node 1, remove node 2, then add node 1 back. The names rs.removeNode() and rs.addNode() shown in the other options are not standard MongoDB replica-set helper methods. Membership changes must be performed carefully because modifying voting or data-bearing membership can affect majority calculations, elections, and availability. Administrators normally execute membership changes while connected to the current primary, allow configuration propagation, and verify replica-set health afterward with rs.status() or related diagnostics. If a removed data-bearing node is later re-added, it may need to synchronize depending on how far its data has diverged from the current replica- set history. Among the choices, option C is the only valid command sequence.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set membership, rs.remove(), rs.
add(), and topology changes.


169. Frage
What does the following aggregate query perform?

Antwort: B


170. Frage
A MongoDB database administrator needs to improve the performance of the following query:
db.employees.find(
{},
{ name: 1, department: 0, salary: 1 }
).sort({ department: 1, salary: -1 });
What index should the administrator use to achieve this goal?

Antwort: C

Begründung:
For a compound index to satisfy a multi-field sort, the indexed fields must occur in the same sequence as the sort specification, and their directions must either match the requested pattern or be the complete reverse of it.
The query sorts by { department: 1, salary: -1 }, so option B exactly matches both the key order and the requested directions. MongoDB can scan that index and return the results already ordered, avoiding a blocking in-memory sort. Option A uses { department: 1, salary: 1 }, which does not match the mixed- direction sort and is not its full inverse. Option D puts name before the two sort keys. Because the query has no equality predicate on name, that leading key prevents the later fields from directly providing the requested global sort. Option C is not a sensible index definition for this workload. Separately, the displayed projection mixes inclusion and exclusion (name:1, salary:1, department:0), which MongoDB normally disallows except for _id; that syntax issue should be corrected independently. It does not change the intended index answer for the sort, which is B.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, sort support, index prefixes, and key direction.


171. Frage
......

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