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The topics covered in the C100DBA exam include database architecture, data modeling, scalability, availability, security, backup and recovery, performance tuning, and monitoring. C100DBA exam also tests the ability of candidates to use MongoDB tools such as the mongo shell, MongoDB Compass, and MongoDB Atlas.
MongoDB C100DBA is a certification exam designed for individuals aspiring to become certified MongoDB DBAs. C100DBA Exam is based on MongoDB version 4.4, the latest version of the popular document-oriented NoSQL database. MongoDB is widely used by organizations of all sizes to build and manage modern applications that require high-performance, scalability, and availability.
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The C100DBA exam is designed for database administrators who are responsible for managing MongoDB databases. C100DBA exam covers a wide range of topics, including database installation, configuration, security, backup and recovery, performance tuning, and troubleshooting. By passing C100DBA Exam, candidates can demonstrate their proficiency in these areas and validate their skills as a MongoDB DBA.
NEW QUESTION # 117
Consider that the posts collection contains an array called ratings which contains ratings given to the post by various users in the following format:
Which of the following query will return all the documents where the ratings array contains elements that in some combination satisfy the query conditions?
Answer: B
NEW QUESTION # 118
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?
Answer: B
Explanation:
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.
NEW QUESTION # 119
Given a collection posts as shown below having a document array comments, which of the following command will create an index on the comment author descending?
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