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MongoDB Certified DBA Associate Exam (C100DBA) is a certification exam designed for professionals seeking to validate their skills and knowledge in managing MongoDB 4.4 deployments. MongoDB is a popular NoSQL database used by many organizations worldwide. C100DBA Exam is based on MongoDB 4.4 and covers a wide range of topics related to MongoDB administration, including security, data modeling, replication, sharding, backup, and recovery.
NEW QUESTION # 138
What is the correct read preference option to direct all read operations to the secondary?
Answer: C
Explanation:
MongoDB read preference controls which replica-set members are eligible to serve read operations. The mode secondary sends reads only to eligible secondary members. If no suitable secondary is available, the read fails rather than falling back to the primary. That strict behavior is exactly what the question asks for.
secondaryPreferred, option A, normally routes reads to secondaries but can use the primary when no suitable secondary is available, so it does not guarantee that every read is served by a secondary. Options B and C are not valid MongoDB read preference mode names. Secondary reads are useful for specific workloads, but DBAs must account for asynchronous replication: a secondary can lag the primary, so data returned from a secondary may be stale relative to the latest acknowledged primary write. MongoDB provides additional controls such as tag sets and maximum staleness settings to restrict which secondary members are considered acceptable. When the explicit requirement is to direct all reads away from the primary and exclusively to secondary members, secondary is the correct read preference. Therefore option D is correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set read preferences, secondary reads, and staleness.
NEW QUESTION # 139
A collection named scores includes:
[
{ _id: 1, home_score: 6, away_score: [ 5, 7 ] },
{ _id: 2, home_score: [ 8, 6 ], away_score: 9 },
{ _id: 3, home_score: [ 5, 8 ], away_score: [ 9, 6 ] },
{ _id: 4, home_score: 5, away_score: 10 }
]
Given the following index:
db.scores.createIndex( { home_score: 1, away_score: 1 } )
What document will cause the index to fail?
Answer: D
Explanation:
The proposed index is a compound index across home_score and away_score. MongoDB supports compound multikey indexes, but it imposes an important restriction: for any one indexed document, no more than one field covered by the compound index may contain an array. Document 1 is valid because only away_score is an array. Document 2 is also valid because only home_score is an array. Document 4 contains scalar values for both fields. Document 3 contains arrays in both indexed fields: home_score: [5,8] and away_score: [9,6] .
Indexing that document would require a compound multikey index to expand two independent array dimensions, which MongoDB prohibits. Therefore document 3 prevents the compound index from being valid. The restriction is important because a single multikey field already creates multiple index keys per document; allowing multiple independently array-valued keys in the same compound index would create ambiguous and potentially combinatorial key combinations. DBAs designing indexes over document schemas with arrays must understand these multikey constraints before building compound indexes. The failing document is _id:3, making option D correct.
Study Guide reference/topic:Indexing and Query Optimization - multikey indexes, compound multikey restrictions, and array-valued fields.
NEW QUESTION # 140
Which of the following operators is used to updated a document partially?
Answer: A
NEW QUESTION # 141
Which of the following is a valid Replica Set configuration if you want:
1-Have 3 copies of everything
2- That RS3 is never primary
2- That RSI and RS2 can be primary?
You had to see the different configurations, RS3 could be hidden or priority 0 (But not a referee because we need
3 replicas), while RSI and RS2 could NOT have priority 0 or be hidden or anything like that In a 4-member RS RSO , RSI, RS2 and RS3 + Referee, RSO (primary) falls after some write operations that have replicated RSI and RS2 (but NOT RS3), who can get up as the new primary?
The configuration comes and in it we see that RS2 has a hidden: true (or a priority: 0, (I don't remember)
Answer: C
NEW QUESTION # 142
Consider a products collection:
{ " _id " : 1, " item " : " t-shirt " , " color " : " red " , " price " : 10 }
{ " _id " : 2, " item " : " sweater " , " color " : " green " , " price " : 20 }
{ " _id " : 3, " item " : " belt " , " color " : " black " , " price " : 15 }
{ " _id " : 4, " item " : " hat " , " color " : " green " , " price " : 12 } What operation modifies the price of all products that have a color value of " green " ?
Answer: D
Explanation:
The operation must update every matching document and use the $inc update operator with correct syntax.
updateMany() applies the update to all documents matching { color: " green " }. The $inc operator must be the top-level update operator and receive a field-to-amount mapping, so the valid update document is { $inc: { price: 5 } }. Option C satisfies both requirements. The sweater price increases from 20 to 25, and the hat price increases from 12 to 17. Option B uses a syntactically correct $inc expression, but the legacy update() call shown does not explicitly request a multi-document update, so it does not meet the stated requirement to modify all green products. Options A and D place $inc beneath the price field instead of placing $inc at the update-operator level, which is not valid update syntax. $inc operates atomically on each affected document and can be used with positive or negative numeric increments. Therefore, the correct multi-document update is db.products.updateMany({color: " green " }, {$inc:{price:5}}), making C correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - updateMany(), update operators, filters, and $inc.
NEW QUESTION # 143
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