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MongoDB C100DBA is a certification exam for MongoDB Certified DBA Associate. C100DBA exam is based on MongoDB 4.4, which is the latest version of MongoDB. C100DBA exam is designed to test the candidate's knowledge and skills in administering MongoDB deployments. C100DBA exam covers various topics such as MongoDB architecture, installation, configuration, security, backup and recovery, and performance optimization.
MongoDB C100DBA Certification is a valuable asset for anyone interested in pursuing a career as a MongoDB DBA. It demonstrates a high level of expertise with the latest version of MongoDB and can help individuals advance their careers and earn higher salaries. However, passing the exam requires significant preparation and a deep understanding of database administration principles.
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To successfully pass the MongoDB C100DBA exam, candidates should have a solid understanding of MongoDB architecture, database design, indexing and querying data, replication and sharding, backup and recovery strategies, and security best practices. Additionally, candidates should be familiar with various MongoDB tools and utilities such as mongodump, mongorestore, and mongoexport. C100DBA Exam consists of multiple-choice questions and scenarios that simulate real-world scenarios that database administrators might encounter. Passing the exam demonstrates that an individual possesses the skills and knowledge required to effectively manage and maintain MongoDB databases.
NEW QUESTION # 145
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.
Answer: B,F
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 # 146
What method should be used to configure dynamically runtime parameters for the mongod process in MongoDB?
Answer: D
Explanation:
MongoDB exposes server parameters that can be configured through the parameter framework. Among the choices, --setParameter is the option specifically designed to set a server parameter on the mongod command line, using syntax such as mongod --setParameter < name > = < value > . A configuration file can also contain a setParameter section, but --config by itself merely tells mongod which configuration file to load; it is not the parameter-setting mechanism identified by the question. Connection-string options control how clients connect and cannot be used to configure arbitrary server runtime parameters. Option D is also incorrect because the server must already be running for mongosh to issue administrative commands. A technical nuance is important: parameters that support modification while the process is already running are changed with the administrative setParameter command, for example db.adminCommand({setParameter:1, ...}). Such runtime changes may not persist across a restart unless the value is also configured for startup. Given the options provided and the exam wording, --setParameter is the intended method, so A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - server parameters, --setParameter, configuration files, and runtime administration.
NEW QUESTION # 147
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: A
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 # 148
Mongodb does provide high availability via which option?
Answer: B
NEW QUESTION # 149
What is the defau size of a GridFS chunk?
Answer: B
NEW QUESTION # 150
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