M201 MongoDB Performance - Labs & Final Exam Q&A

M201 MongoDB Performance

 Chapter-1 Introduction to MongoDB Performance
Chapter – 2 MongoDB Indexes
Chapter – 3 Index Operations
Chapter 4: CURD Optimization
Chapter 5: Performance on Clusters

Final Exam

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Question 1

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Which of these statements is/are true? Answer: You can index multiple array fields in a single document with a single compound index - False   Multikey indexes allow us to index on array fields, but they do not support indexes on multiple array fields on single documents. Covered queries can sometimes still require some of your documents to be examined - False A query is covered if and only if it can be satisfied using the keys of the index. Write concern has no impact on write latency - False Different write concerns can certainly impact your write latency. Write concerns that only need acknowledgment from a primary are generally faster than ones that need acknowledgment from a majority of replica set members. Creating an ascending index on a monotonically increasing value creates index keys on the right-hand side of the index tree - True A collection scan has a logarithmic search time - False No, collection scans have a  linear  search time.
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Question 7

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Given the following indexes: { categories: 1, price: 1 } { in_stock: 1, price: 1, name: 1 } The following documents: { price: 2.99, name: "Soap", in_stock: true, categories: ['Beauty', 'Personal Care'] } { price: 7.99, name: "Knife", in_stock: false, categories: ['Outdoors'] } And the following queries: db.products.find({ in_stock: true, price: { $gt: 1, $lt: 5 }  }).sort({  name: 1 }) db.products.find({ in_stock: true }) db.products.find({ categories: 'Beauty'  }).sort({  price: 1 }) Whic h of  following is/are true? Answer: Index #1 would provide a sort to query #3. - True Index #2 properly uses the equality, sort, range rule for query #1. - False - If we were to build an index for query #1 using the equality, sort, range rule, then the index would be: { in_stock: 1, name: 1, price: 1 }. There would be a total of 4 index keys created across all of these documents and indexes. - False - As there would be 5 to
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