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Business assets from internal and external attacks

What helps protect core business assets from internal and external attacks by implementing strong technical controls and adhering to industry best practices?

Select one:
a.Attack resiliency
b.Resiliency nonvulnerable attacks
c.Cloud security resilience
d.Cybersecurity resilience

When considering how to protect assets and data in the cloud, it is important to make the distinction between _ and _ clouds.

Select one:
a.Private, non-private
b.Public, private
c.Both A and B

d.None of the above

When deploying security controls for your organization’s cloud environment, it’s important to take into consideration?

Select one:
a.the different facets involved, and the requirements needed to gain a comfortable level of visibility and response capability.
b.challenges and security issues that are introduced when an organization wants to migrate services to the cloud
c.both A and B

d.none of the above

What type of scanners often the answer to help inspect and identify security risks and vulnerabilities when deploying systems in the cloud?

Select one:
a.3D Scanner
b.4D Scanner printer
c.Vulnerability scanners
d.None of the above

Vulnerability testing should be_____.
Select one:
a.Rigorous and consistent
b.IaaS configurations
c.Default configuration
d.Network configuration

In choosing a padding method, we need to address two aspects:

Select one:
a.satisfying the privacy property and minimizing padding cost.
b.Minimize security cost and meet the expectations of privacy and propriety method
c.Both A and B

d.None of the Above

A natural way to address the PPTP issue is to apply the well-known concept of __.

Select one:
a.Differential privacy
b.In differential privacy
c.Cyber privacy

d.None of the above

Before discussing our solution, we first examine

Select one:
a.existing countermeasures,
b.packet-size rounding (increasing the size of each packet up to the closest multiple of given bytes) and random padding (increasing each packet size up to a random value).

c.apply the privacy preserving data publishing (PPDP) technique of generalization
d.Both A and B

Sample Solution

Transient memory is the memory for a boost that goes on for a brief time (Carlson, 2001). In reasonable terms visual transient memory is frequently utilized for a relative reason when one can't thoroughly search in two spots immediately however wish to look at least two prospects. Tuholski and partners allude to momentary memory similar to the attendant handling and stockpiling of data (Tuholski, Engle, and Baylis, 2001). They additionally feature the way that mental capacity can frequently be antagonistically impacted by working memory limit. It means quite a bit to be sure about the typical limit of momentary memory as, without a legitimate comprehension of the flawless cerebrum's working it is challenging to evaluate whether an individual has a shortage in capacity (Parkin, 1996). This survey frames George Miller's verifiable perspective on transient memory limit and how it tends to be impacted, prior to bringing the examination state-of-the-art and outlining a determination of approaches to estimating momentary memory limit. The verifiable perspective on momentary memory limit Length of outright judgment The range of outright judgment is characterized as the breaking point to the precision with which one can distinguish the greatness of a unidimensional boost variable (Miller, 1956), with this cutoff or length generally being around 7 + 2. Mill operator refers to Hayes memory length try as proof for his restricting range. In this members needed to review data read resoundingly to them and results obviously showed that there was a typical maximum restriction of 9 when double things were utilized. This was regardless of the consistent data speculation, which has proposed that the range ought to be long if each introduced thing contained little data (Miller, 1956). The end from Hayes and Pollack's tests (see figure 1) was that how much data sent expansions in a straight design alongside how much data per unit input (Miller, 1956). Figure 1. Estimations of memory for data wellsprings of various sorts and bit remainders, contrasted with anticipated results for steady data. Results from Hayes (left) and Pollack (right) refered to by (Miller, 1956) Pieces and lumps Mill operator alludes to a 'digit' of data as need might have arisen 'to settle on a choice between two similarly probable other options'. In this manner a basic either or choice requires the slightest bit of data; with more expected for additional complicated choices, along a twofold pathway (Miller, 1956). Decimal digits are worth 3.3 pieces each, implying that a 7-digit telephone number (what is handily recollected) would include 23 pieces of data. Anyway an evident inconsistency to this is the way that, assuming an English word is worth around 10 pieces and just 23 pieces could be recollected then just 2-3 words could be recalled at any one time, clearly mistaken. The restricting range can all the more likely be figured out concerning the absorption of pieces into lumps. Mill operator recognizes pieces and lumps of data, the qualification being that a lump is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can differ generally (Miller, 1956). Anyway it's anything but a straightforward instance of having the memorable option enormous pieces right away, fairly that as each piece turns out to be more recognizable, it tends to be acclimatized
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