HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
Answer(s): A
Semi-structured data Semi-structured data (e.g., JSON, CSV, XML) is the ג€bridgeג€ between structured and unstructured data. It does not have a predefined data model and is more complex than structured data, yet easier to store than unstructured data.
https://www.ibm.com/cloud/blog/structured-vs-unstructured-data
Which property of a transactional workload guarantees that each transaction is treated as a single unit that either succeeds completely or fails completely?
The purpose of making transactions atomic is to prevent different transactions from interfering with one another. This can only happen if more than one user process is trying to access the database at the same time, as when a server allows several clients to use it concurrently. The simplest way to enforce atomicity is for the DBMS to refuse to start any transaction until the previous one has committed.
https://www.sciencedirect.com/topics/computer-science/atomic-transaction
You have a data store that has the structure shown in the following exhibit.Which type of data store is this?
Answer(s): C
A graph database stores two types of information, nodes and edges. Edges specify relationships between nodes. Nodes and edges can have properties that provide information about that node or edge, similar to columns in a table. Edges can also have a direction indicating the nature of the relationship.
https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview
Which type of database contains nodes and edges?
A data analyst's primary skill set revolves around data acquisition, handling, and processing.Incorrect:* A data engineer requires an intermediate level understanding of programming to build thorough algorithms along with a mastery of statistics and math.* A data scientist needs to be a master of both worlds. Data, stats, and math along with in-depth programming knowledge for Machine Learning and DeepLearning.
https://www.edureka.co/blog/data-analyst-vs-data-engineer-vs-data-scientist/
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Question 4:Question 4 is about when to use batch processing.
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