Guide 550 LINUX INTERVIEW QUESTIONS AND ANSWERS: Hands On Tips For Cracking The Interview

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Table of contents

The trailing is commonly known as the column pointer. So, when we use the trailing , in the Input statement, it gives you the ability to read a part of the raw data line, test it and decide how can the additional data be read from the same record. The , therefore, holds the input record even across multiple iterations of the data step. So 1st January will be a Sunday in the next week.

Consider the following example.

Knowing Structured Query Language, boots your path on becoming a data analyst, as it will be clear in your interviews that you know how to handle databases. The data stored in the database can be modified, retrieved and deleted, and can be of any type like strings, numbers, images etc. This property is used in the databases to ensure whether the data transactions are processed reliably in the system or not.


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If you have to define each of these terms, then you can refer below. Normalization is the process of organizing data to avoid duplication and redundancy. There are many successive levels of normalization. Each consecutive normal form depends on the previous one. The first three normal forms are usually adequate. Refer to the image on the right side. You can fetch alternate tuples by using the row number of the tuple. Let us say if we want to display the employeeId, of even records, then you can use the mod function and simply write the following query:.

Similarly, if you want to display the employeeId of odd records, then you can write the following query. NVL exp1, exp2 and NVL2 exp1, exp2, exp3 are functions which check whether the value of exp1 is null or not. If we use NVL exp1,exp2 function, then if exp1 is not null, then the value of exp1 will be returned; else the value of exp2 will be returned.

But, exp2 must be of the same data type of exp1. Similarly, if we use NVL2 exp1, exp2, exp3 function, then if exp1 is not null, exp2 will be returned, else the value of exp3 will be returned.

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Now, moving onto the next set of questions asked i. It v isualizes and creates interactive, shareable dashboards. If you wish to learn more about the Differences between Power BI and Tableau, you can check out the following video:. Dual Axis is a phenomenon provided by Tableau. This helps the users to view two scales of two measures in the same graph.

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Websites such as Indeed. Refer to the below image to see how it looks. The Joining term is used when you are combining data from the same source, for example, worksheet in an Excel file or tables in an Oracle database. While blending requires two completely defined data sources in your report. To create a calculated field in Tableau, you can follow the below steps:. According to your question, you must have a country, state, profit and sales fields in your dataset. A heat map is used for comparing categories with color and size.

With heat maps, you can compare two different measures together. A treemap is a powerful visualization that does the same as that of the heat map. Apart from that, it is also used for illustrating hierarchical data and part-to-whole relationships. Aggregation of data: Aggregation of data refers to the process of viewing numeric values or the measures at a higher and more summarized level of data.

When you place a measure on a shelf, Tableau will automatically aggregate your data. You can determine whether the aggregation has been applied to a field or not, by simply looking at the function. You can aggregate measures using Tableau only for relational data sources. Multidimensional data sources contain aggregated data only. In Tableau, multidimensional data sources are supported only in Windows. Disaggregation of data: Disaggregation of data allows you to view every row of the data source which can be useful while analyzing measures.

Example: Consider a scenario where you are analyzing results from a product satisfaction survey.

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Here the Age of participants is along one axis. Now, you can aggregate the Age field to determine the average age of participants, or you can disaggregate the data to determine the age at which the participants were most satisfied with their product. Stories are used to narrate a sequence of events or make a business use-case. The Tableau Dashboard provides various options to create a story. Each story point can be based on a different view or dashboard, or the entire story can be based on the same visualization, just seen at different stages, with different marks filtered and annotations added.

To create a story in Tableau you can follow the below steps:. You can embed interactive Tableau views and dashboards into web pages, blogs, wiki pages, web applications, and intranet portals. Alternatively, if your organization uses a core-based license on Tableau Server, a Guest account is available.

This allows people in your organization to view and interact with Tableau views embedded in web pages without having to sign in to the server. Contact your server or site administrator to find out if the Guest user is enabled for the site you publish to. You can do the following to embed views and adjust their default appearance:.

If you wish to know more questions on Tableau, then refer a full-fledged article on Tableau Interview Questions. Now, moving onto something more interesting, I have planned up a set of 5 puzzles, that are most commonly asked in the Data Analyst Interviews.

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The most important skill that you need to possess is the approach to the problem. Oh yes, your approach should also be in such a way that you should be able to explain to the interviewer. If you notice the condition in the question, you will observe that there is a circular misplacement. So, obviously, you will name the jar as Black. So, if you just pick up one ball, you can correctly label the jars.

The approach to answering this question is simple. You just must cut the pumpkin horizontally down the center, followed by making 2 other cuts vertically intersecting each other. So, this would give you your 8 equal pieces. Now, you can start solving the problem by considering the number of cars racing. Since there are 25 cars racing with 5 lanes, there would be initially 5 races conducted, with each group having 5 cars.

Next, a sixth race will be conducted between the winners of the first 5 races to determine the 3 fastest cars let us say X1, Y1, and Z1. Now, suppose X1 is the fastest among the three, then that means A1 is the fastest car among the 25 cars racing. But the question is how to find the 2 nd and the 3 rd fastest?

So, the cars that finish the 1 st and 2 nd is the 7 th race are actually the 2 nd and the 3 rd fastest cars among all cars.

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The solution to this puzzle is very simple. You just must pick 1 coin from the 1 st stack, 2 coins from the 2 nd stack, 3 coins from the 3 rd stack and so on till 10 coins from the 10 th stack. So, if you add the number of coins then it would be equal to Yet, if stack 1 turns out to be defective, then the total weight would be 1 less then grams, that is grams. Similarly, if stack 2 was defective then the total weight would be equal to 2 less than 50 grams, that is grams. Similarly, you can find for the other 8 cases. It makes you an expert in key technologies related to Data Analytics.

Individual courses focus on specialization in one or two specific skills, however, if you intend to become a Data Analyst, then this is the path for you to follow. If you have any queries related to this article please leave them in the comments section below and we will revert as soon as possible. Already have an account?