Answer:
c. your friend can hash all possible options and discover your secret.
Explanation:
SHA-256 is a set of hash functions that was designed by the NSA. SHA-2 is considered an upgrade on the set that was its predecessor, SHA-1. A hash is a mathematical function that condenses data in a process of one-way encryption. SHA-256 creates hash algoritms that are considered irreversible and unique. However, one of the properties of hashing algorithms is determinism, which means that any computer in the world would be able to compute a particular hash and get the same answer.
Answer:
There are multiple critical paths
Explanation:
The critical path method (CPM), or critical path analysis (CPA), is an algorithm for scheduling a set of project activities. It is commonly used in conjunction with the program evaluation and review technique (PERT). A critical path is determined by identifying the longest stretch of dependent activities and measuring the time required to complete them from start to finish.
The essential technique for using CPM is to construct a model of the project that includes the following:
- A list of all activities required to complete the project (typically categorized within a work breakdown structure),
- The time (duration) that each activity will take to complete,
- The dependencies between the activities and,
- Logical end points such as milestones or deliverable items.
Using these values, CPM calculates the longest path of planned activities to logical end points or to the end of the project, and the earliest and latest that each activity can start and finish without making the project longer. This process determines which activities are "critical" (i.e., on the longest path) and which have "total float" (i.e., can be delayed without making the project longer).
considering the above function of the cpm analysis because you have multiple path, there is tendency that more than path through the project network will have zero slack values.
Answer:
The answer is "False".
Explanation:
The rule of thirds implies to the subject, which is not centered mostly on the picture because of new photography formats their shots. Its main object is a little off with one side by using a third-party principle, which draws your attention for the audience into another design, instead of only looking at the center. In another word, we can say that this rule is used as the definition to design the Crop tool to represent as an overlay.
Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess;
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40
