Confuse Skull: 2022

A jail has a number of prisoners and a number of treats to pass out to them. Their jailer decides the fairest way to divide the treats is to seat the prisoners around a circular table in sequentially numbered chairs. A chair number will be drawn from a hat. Beginning with the prisoner in that chair, one candy will be handed to each prisoner sequentially around the table until all have been distributed.

The jailer is playing a little joke, though. The last piece of candy looks like all the others, but it tastes awful. Determine the chair number occupied by the prisoner who will receive that candy.

Viral Advertising | Python Solution | HackerRank

HackerLand Enterprise is adopting a new viral advertising strategy. When they launch a new product, they advertise it to exactly people on social media.

On the first day, half of those people (i.e., ) like the advertisement and each shares it with of their friends. At the beginning of the second day, people receive the advertisement.

Each day, of the recipients like the advertisement and will share it with friends on the following day. Assuming nobody receives the advertisement twice, determine how many people have liked the ad by the end of a given day, beginning with launch day as day .

Beautiful Days at the Movies | Python Solution | HackerRank

Lily likes to play games with integers. She has created a new game where she determines the difference between a number and its reverse. For instance, given the number , its reverse is . Their difference is . The number reversed is , and their difference is .

She decides to apply her game to decision making. She will look at a numbered range of days and will only go to a movie on a beautiful day.

Given a range of numbered days, and a number , determine the number of days in the range that are beautiful. Beautiful numbers are defined as numbers where is evenly divisible by . If a day's value is a beautiful number, it is a beautiful day. Return the number of beautiful days in the range.

Angry Professor | Python Solution | HackerRank

A Discrete Mathematics professor has a class of students. Frustrated with their lack of discipline, the professor decides to cancel class if fewer than some number of students are present when class starts. Arrival times go from on time () to arrived late ().

Given the arrival time of each student and a threshhold number of attendees, determine if the class is cancelled.

Example

The first students arrived on. The last were late. The threshold is students, so class will go on. Return YES.

Note: Non-positive arrival times () indicate the student arrived early or on time; positive arrival times () indicate the student arrived minutes late.

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Search Your Question...!

1. By reading through the customer reviews of a product on Amazon, a customer forms a

Perception about the product

2. Digital Marketing helps to improve

All the options mentioned

3. Customer Perception develops

all

4. Main objective of Digital Marketing is to

None

5. Which of the following aims at influencing users who have already begun their research on sites like Google, but not necessary that they have visited a brand site

Search Retargeting

1. Which cloud offering focuses on the consumption of services?

SaaS

2. High available applications are

all

3. In which operating system, we can use Azure CLI?

All the options mentioned

4. When using Azure Resource Manager, you can use a _______________ for deployment, which can build identical environments for different work scenarios such as testing, staging, and production

Template

5. Which of the following is the older service management model, where cloud services contain your cloud resources?

Classic Portal

1. Automation anywhere is not capable of working with

Hand written documents

2. Pdf integration command cannot be used for?

converting pdf files to word

3. From control room on which type of clients can we schedule tasks

runtime

4. Using Email automation command we can directly get emails from the server without having interface(Email client) like: gmail, outlook?true

False

5. For uploading a bot to the control room we need to have access to it?

False

1. What is/are the outcome of optimizing the likelihood function ?

Parameters

2. ________________ Regression can be used to model the data when the outcome is dichotomous .

Logistic

3. When we normally multiply the coefficients with covariates we get a numeric value ? But when we need to get an output in the range 0 to 1 what do we need to perform ?

Non Linear Transformation

4. A linear Model best predicts when the dependent variable is Binary.

False

5. The systematic component in a GLM consists of Linear Predictor . What are they ?

Covariate and Coefficient

1. Data Collected from Survey results is an example of ______

structured data

2. Gradient at a given layer is the product of all gradients at the previous layers.

True

3. Name the component of a Neural Network where the true value of the input is not observed.

hidden layer

4. _______________ is a Neural Nets way of classifying inputs.

FP

5. Prediction Accuracy of a Neural Network depends on _______________ and ______________.

weight and bias

1. Which cloud offering focuses on the consumption of services?

SaaS

2. High available applications are

all

3. In which operating system, we can use Azure CLI?

All the options mentioned

4. When using Azure Resource Manager, you can use a _______________ for deployment, which can build identical environments for different work scenarios such as testing, staging, and production

Template

5. Which of the following is the older service management model, where cloud services contain your cloud resources?

Classic Portal

1. In gradle, JAR files are published to

ALL

2. Jobs are the unit of execution in Jenkins.

False

3. Which of the following statement is true about Jenkins?

ALL

4. The plugins provided by jenkins supports

ALL

5. Applying the Application plugin also implicitly applies the Java plugin.

True

1. Benefits of Microservices include -

All the options

2. Software built as microservices can, by definition, be broken down into multiple component services ?

true

3. Decomposition of Microservices based on 2 categories namely

Business capability , Subdomain

4. Complexity of account to disadvantages of Microservices

developing, testing & deploying distributed system, Handling partial failures

5. Prediction Accuracy of a Neural Network depends on _ and .

4. JSX is JavaScript with a syntax extension which allows a mixture between _____ and _.