Big Data Analytics | Big Data Architecture MCQs: This section contains the Multiple-Choice Questions & Answers on Big Data Analytics - Big Data Architecture with explanations.
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Many big data solutions prepare data for analysis and then serve the processed data in a,Many big data solutions prepare data for analysis and then serve the processed data in a,
The answer is:
A. Structured format
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The data could be presented through a low-latency _____ technologyThe data could be presented through a low-latency _____ technology.
The answer is:
B. NoSQL
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Azure Synapse Analytics provides a managed service for _______Azure Synapse Analytics provides a managed service for _______.
The answer is:
D. All of the mentioned above
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The goal of most big data solutions is to provide insights into the data through _____The goal of most big data solutions is to provide insights into the data through _____.
The answer is:
C. Analysis and reporting
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_____ is a form of interactive data exploration by data scientists or data analysts_____ is a form of interactive data exploration by data scientists or data analysts.
The answer is:
B. Analysis and reporting
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To automate the big data solutions like workflows, we use _____ technologyTo automate the big data solutions like workflows, we use _____ technology.
The answer is:
A. Orchestration
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The architecture should designed in such a way so that it can handle ______The architecture should designed in such a way so that it can handle ______.
The answer is:
D. All of the mentioned above
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Big data-based solutions consist of data related operations that are repetitive in nature,Big data-based solutions consist of data related operations that are repetitive in nature,
The answer is:
A. True
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Big data services or platforms delivered through the cloud can be employed as components of a company's graph database, according to the reportBig data services or platforms delivered through the cloud can be employed as components of a company's graph database, according to the report.
The answer is:
A. True
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To process large data sets quickly, big data architectures useTo process large data sets quickly, big data architectures use.
The answer is:
D. All of the mentioned above
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