1. | ____________ are operations that process data records and return computed results. |
Discuss |
Answer: (c).Aggregations
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2. | Point out the wrong statement. |
Discuss |
Answer: (a).Map-reduce cannot have a finalize stage to make final modifications to the result
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3. | Running data aggregation on the ________ instance simplifies application code and limits resource requirements. |
Discuss |
Answer: (b).mongod
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4. | Documents enter a multi-stage __________ that transforms the documents into an aggregated result. |
Discuss |
Answer: (a).pipeline
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5. | Point out the wrong statement. |
Discuss |
Answer: (d).None of the mentioned
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6. | The most basic pipeline stages provide __________ that operate like queries. |
Discuss |
Answer: (b).filters
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7. | Pipeline stages can use __________ for tasks such as calculating the average or concatenating a string. |
Discuss |
Answer: (b).operators
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8. | Map-reduce uses custom __________ functions to perform the map and reduce operations. |
Discuss |
Answer: (b).Javascript
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9. | Which of the following operation can be optionally used for map reduce? |
Discuss |
Answer: (a).finally
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10. | The aggregation pipeline can use ___________ to improve its performance during some of its stages. |
Discuss |
Answer: (a).indexes
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