+1 (231)-518-0303 [email protected]
Home » Archives for June 2023 » Page 673
Now, identify help desk job stressor FACTORS. Based on your on your understanding of help desk operations and job stress, make a list of 10 different FACTORS (like office politics – employees who are paid more believe they are superior, rude co-workers who don’t do their own job) in a help desk environment that can increase or decrease the job stress experienced by agents. Define in a sentence or 2 sentences what each of your 10 factors is and means.
24/7 monitoring of all network activity is an invaluable tool for enhancing your security posture. An effective Incident Response Plan (IRP) is essential to mitigation of attacks, while a Disaster Recovery Plan (DRP) provides support for unexpected environmental obstacles to information systems. For both IRP and DRP, a company must develop strategies to recover from unexpected interruptions, and exercise these plans to ensure all applicable personnel are prepped and aware of their roles. In Topic 5, a minor Business Impact Analysis (BIA) was conducted, which identified the critical assets to the company. These assets will be used to aid in the development of a contingency plan to ensure business continuity in the presence of an event.
This assignment exercises the analysis and development of a Lite Contingency Plan (BIA, IRP, DRP, and Business Continuity Plan: BCP). The development of a workflow diagram is essential in displaying the relationship between the four components. This is critical for the IRP and DRP, as an IRP can launch a DRP when a threat disrupts a system through ransomware, DDoS, or other malicious attacks against a system.
Use the following guidelines to create an 8- to 12-page report using the same corporate profile selected earlier.
Business Impact Analysis
Incident Response Plan (IRP)
In three to four pages, detail an IRP to include:
Disaster Recovery Plan (DRP)
Establish a DRP Policy in one to two pages that contains the following in alignment with the company:
Business Continuity Plan (BRP)
In three to four pages, close out the assignment with a complete BC Plan that includes the following:
Include diagrams, tables, and charts as directed by the instructor.
1. How does prescriptive analytics relate to descriptive and predictive analytics?
2. Explain the differences between static and dynamic models. How can one evolve into the other?
3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?
4. Explain why solving problems under uncertainty some-times involves assuming that the problem is to be solved under conditions of risk.
5. Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions.
CSC 102: Application Development for Beginners
entering the site CODE.ORG with my user and pass
then creat a game and start using the codes that the ask in the assignment to make a game
Question Three [30 marks]
Radisson Blue Hotels stores information about their hotels in different countries. Every hotel is identified by hotel id, hotel name, hotel address, city and URL. Every country is identified by country code, country name and country currency. Guests staying in the hotel is identified by guest number, guest name, guest address and guest city. Every room in the hotel is identified by room number, and room floor. Every room booking is identified by booking id, starting date, and ending date. There are different types of rooms in the hotel. Each room type is identified by room type code, room standard rate, and description. In each country, there may be no hotels or more than one hotel. A hotel may have one or more rooms. A guest can book one or more rooms and a room may be booked by one or more guests. A hotel may have one or more bookings and each booking is associated with exactly one hotel. Each room type may have one or more rooms and a room belongs to one room type.
1) Write the schema of the appropriate relations for the above scenario. Identify the primary key and the foreign key in each of the relations. [4 marks]
How did you identify the primary key and foreign key? Explain. [2 Marks]
2) Use the designed relations to write SQL statements for the following questions: – Explain the working of each query in detail.
a. Display all the rooms having the same rate in the ascending order of room rate. [5 marks]
b. List the number of hotels in each country. Only include countries with more than 4 hotels. [4 marks]
c. Display the details of hotels that is not yet included in any booking. [4 marks]
d. Display all the details of guests who booked hotels on ‘2021-05-01’. [4 marks]
e. Display the room number, room standard rate and the hotel id. [4 marks]
f. Display the details of countries with country name starting with letters other than any letter within ‘A’ and ‘P’. [3 marks]
The final project for the course is a technical blog post related to a data analysis project you will work on piecemeal over the course of the semester.
The project is very open ended. The objective is to demonstrate your skill in asking meaningful questions of your data and answering them with results of the data analysis using R / Rmarkdown, and that your proficiency in interpreting and presenting the results. The goal is not to conduct an exhaustive data analysis. The data analysis part should meet the following criteria:
1. Perform exploratory data analysis summarizing your data using descriptive statistics / summary statistics and visualizations relevant to your questions or ones that highlight some interesting insight.
2. Demonstrate at least two of the following techniques we have learned in class and that helps answer your question: PCA, hypothesis testing / confidence interval, regression analysis (linear /logistic)
The first task is to identify the dataset, understand the data and write questions you are planning to answer using that dataset. You may pick a data set from one of the resources mentioned on this webpage (Links to an external site.). The proposal should meet the following criteria:
1. Perform checks to determine quality of the data (missing values, outliers, etc.)
2. Proposal on what questions you are interested in answering from the data
3. Initial visualizations and if required transform to get the data ready
A good reference for ideas on questions and EDA in general: https://r4ds.had.co.nz/exploratory-data-analysis.html#questions
More information on the format:
It should be about 2+ pages in length, not exceeding 10 with appendix. It should include roughly the following sections:
1. Background or the context of data selected – sources, description of how it was collected, time period it represents, context in it was collected if available, perhaps why you selected it
2. Description of the data – how big is it (number of observations, variables), how many numeric variables, how many categorical variables, description of the variables
3. Goal – What questions you plan to understand from the data.
3. Analysis – Descriptive statistics and visualization of key variables
4. Summary of findings from the analysis and further questions for future analysis
5. References – link to data or analysis sources you have referenced for the report
6. Appendix – all the visualization that does not support your questions directly can go here
The project should include
1. Introduction: What is your research question? Why do you care? Why should others care? If you know of any other related work done by others, please include a brief description.
2. Data: Include context about the data covering:
a. Data source: Include the citation for your data, and provide link to the source.
b. Data collection: Context on how the data was collected?
c. Cases: What are the cases (units of observation or experiment)? What do the rows represent in your dataset?
d. Variables: What are the variables you will be studying?
e. Type of study: was it an observational study or an experiment?
f. Data clean-up: (Optional) If you had to do any data clean up (missing values, outliers, transformation), include a very brief description of your steps.
3. Exploratory Data Analysis: summarize your data using descriptive statistics / summary statistics and visualizations relevant to your questions or ones that highlight some interesting insight. Additional plots not relevant to your research question can be included in the appendix.
4. Data Analysis: Pick and perform two of the following techniques we have learned in class and that helps answer your question about the dataset: PCA, hypothesis testing / confidence interval, regression analysis (linear /logistic)
5. Conclusion: Summarize your findings and include a discussion of what you have learned about your data through this project. You may also want to include limitations of your approach and include ideas for possible future work.
6. References: Include links that you have referenced for this project.
Read Google’s Handling of the “Echo Chamber Manifesto” and complete the questions at the end of the case study. (https://www.scu.edu/ethics/focus-areas/business-ethics/resources/googles-handling-of-the-echo-chamber-manifesto/)
– The answers should be a minimum of two pages with two references attached for each. There should be no plagiarism- attach a plagiarism report with 0% similarity index.
one page summary of news article
analyze asymmetric and symmetric encryption. Evaluate the differences between the two of them and which one that you would determine is the most secure.
2 full pages and 3 APA references.
I need help with a database assignment
