D. Rise of NASA.Hope I helped.
Answer:
honestly i dont know but I used to have computer programming classes on java and I'd get all my answers from repl.it forums. Wist you best of luck!!
Answer:
B. Implement a key escrow.
Explanation:
A key escrow can be defined as a data security method of storing very essential cryptographic keys.
Simply stated, key escrow involves a user entrusting his or her cryptographic key to a third party for storage.
As a standard, each cryptographic key stored or kept in an escrow system are directly linked to the respective users and are encrypted in order to prevent breach, theft or unauthorized access.
Hence, the cryptographic keys kept in an escrow system are protected and would not be released to anyone other than the original user (owner).
In this scenario, the Chief Information Officer (CIO) has determined the company's new public key infrastructure (PKI) will not use online certificate status protocol (OCSP). However, the purpose of online certificate status protocol (OCSP) still needs to be addressed. Thus, what should be implemented is a key escrow because the online certificate status protocol (OCSP) is an internet protocol used for maintaining the security of a server and obtaining a digital certificate that has been revoked.
Answer:
See explaination
Explanation:
Entity-Relationship (ER) Model can be described as a data model that is based on the notion of real-world entities and relationships among them. While formulating real-world scenario into the database model, the ER Model creates entity set, relationship set, general attributes and constraints.
ER Model is best used for the conceptual design of a database.
ER Model is based on −
Entities and their attributes and
Relationships among entities.
Please kindly check attachment for the entity relationship model of the business.
Answer and Explanation:
The sequential data or sequence data is described as data that come in an ordered sequence. It may also be termed data that is produced from tasks that occurs in sequential order The sequential pattern mining is a critical subject in data mining that has do with applying sequential data to derive a statistically relevant pattern from it.
Sequential pattern mining is a part of data mining. Data mining involves utilizing data from databases to understand and make decisions that better the organization or society as a whole based on this. Common data mining tasks include: clustering, classification, outlier analysis, and pattern mining.
Pattern mining is a kind of data mining task that involves explaining data through finding useful patterns from data in databases. Sequential pattern mining is pattern mining that uses sequential data as a source of data in finding data patterns. Sequential pattern mining applies various criteria(which maybe subjective) in finding "subsequence" in data. Criteria could be :frequency, length, size, time gaps, profit etc. Sequential pattern mining is commonly applicable in reality since a sizeable amount of data mostly occur in this form. A popular type of sequential data is the time series data.