Ques:- How do you correct a procedure that has become invalid when one of the tables it is referring to was altered to drop a constraint?
Asked In :-
Thryve Digital, bit order technologies,
Ques:- How the space utilization takes place within rollback segments
Ques:- There is a field of type character in the table, but we are storing numeric values like (Roll number) in this field, so if we want to sort the field (in java) according to numbers.How?
Ques:- Which resource is not used to calculate the COMPOSITE_LIMIT?a. PRIVATE_SGAb. CPU_PER_SESSIONc. CONNECT_TIMEd. LOGICAL_READS_PER_CALL
Ques:- Explain the UNION operation in SQL . What is meant by OUTER JOIN
Ques:- What is the use of temporary files?
Ques:- How do you change a password for an existing user via mysqladmin?
Asked In :-
Thryve Digital, palle technologies,
Right Answer:
To change a password for an existing user via `mysqladmin`, use the following command:
```bash
mysqladmin -u username -p'old_password' password 'new_password'
```
Replace `username`, `old_password`, and `new_password` with the appropriate values.
To change a password for an existing user via `mysqladmin`, use the following command:
```bash
mysqladmin -u username -p'old_password' password 'new_password'
```
Replace `username`, `old_password`, and `new_password` with the appropriate values.
Ques:- What is classification analysis and how does it work
Asked In :-
Unyscape Infocom Pvt. Ltd., Xoriant Solutions Pvt Ltd, Fluid AI, Queppelin Technology Solutions, MattsenKumar Services, Protege Solutions, STIC SOFT E-SOLUTIONS, Toxsl Technologies, TNQ Technologies, Oodles Technologies,
Right Answer:
Classification analysis is a data analysis technique used to categorize data into predefined classes or groups. It works by using algorithms to learn from a training dataset, where the outcomes are known, and then applying this learned model to classify new, unseen data based on its features. Common algorithms include decision trees, logistic regression, and support vector machines.
Classification analysis is a data analysis technique used to categorize data into predefined classes or groups. It works by using algorithms to learn from a training dataset, where the outcomes are known, and then applying this learned model to classify new, unseen data based on its features. Common algorithms include decision trees, logistic regression, and support vector machines.
Ques:- What are descriptive and inferential statistics
Asked In :-
Vinove Software & Services Pvt Ltd, KRIOS Info Solutions, Shipco IT, STIC SOFT E-SOLUTIONS, Toxsl Technologies, GOQii Technologies, Namecheap Web Services, iROID Technologies, TRICON INFOTECH PVT, SWYM,
Right Answer:
Descriptive statistics summarize and describe the main features of a dataset, using measures like mean, median, mode, and standard deviation. Inferential statistics use sample data to make predictions or inferences about a larger population, often employing techniques like hypothesis testing and confidence intervals.
Descriptive statistics summarize and describe the main features of a dataset, using measures like mean, median, mode, and standard deviation. Inferential statistics use sample data to make predictions or inferences about a larger population, often employing techniques like hypothesis testing and confidence intervals.
Ques:- What are outliers and how do you handle them in data analysis
Asked In :-
Fluid AI, Trigent Software, Itobuz Technologies, RANDSTAD INDIA PVT, GOQii Technologies, Dhruvsoft Services, Radicle Software, Webvillee Technology, Fission Infotech, Noesys Consulting,
Right Answer:
Outliers are data points that significantly differ from the rest of the dataset. They can skew results and affect statistical analyses. To handle outliers, you can:
1. Identify them using methods like the IQR (Interquartile Range) or Z-scores.
2. Remove them if they are errors or irrelevant.
3. Transform them using techniques like log transformation.
4. Use robust statistical methods that are less affected by outliers.
5. Analyze them separately if they provide valuable insights.
Outliers are data points that significantly differ from the rest of the dataset. They can skew results and affect statistical analyses. To handle outliers, you can:
1. Identify them using methods like the IQR (Interquartile Range) or Z-scores.
2. Remove them if they are errors or irrelevant.
3. Transform them using techniques like log transformation.
4. Use robust statistical methods that are less affected by outliers.
5. Analyze them separately if they provide valuable insights.
Ques:- What is data analysis and why is it important
Asked In :-
Unyscape Infocom Pvt. Ltd., WSNE Consulting, AnAr Solutions, Netaxis IT Solutions (p), Rock Solid Solutions, Ziffity Solutions, Chegg India, Aranca (Mumbai), Indocosmo Systems, Fortunesoft IT Innovations,
Right Answer:
Data analysis is the process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making. It is important because it helps organizations make informed decisions, identify trends, improve efficiency, and solve problems based on data-driven insights.
Data analysis is the process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making. It is important because it helps organizations make informed decisions, identify trends, improve efficiency, and solve problems based on data-driven insights.
Ques:- What are some common data analysis tools and software
Asked In :-
Vinove Software & Services Pvt Ltd, Hidden Brains InfoTech, Ziffity Solutions, STIC SOFT E-SOLUTIONS, Born Commerce, TNQ Technologies, MatchMove India, Sun Dew Solutions, Cloud Kinetics Technology Solutions, Recodem,
Right Answer:
Some common data analysis tools and software include:
1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark
Some common data analysis tools and software include:
1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark
Ques:- Mention the architecture of django architecture?
Asked In :-
Codebox, Rightpoint India Digital, Gainers Infotech, iOPEX, Haptik, TekLink International, CodeStore, Thryve Digital, Trikaal Tech Enterprises, Marolix Technology Solutions,
Right Answer:
Django follows the Model-View-Template (MVT) architecture. In this architecture:
- **Model**: Represents the data structure and handles database interactions.
- **View**: Contains the business logic and processes user requests, returning responses.
- **Template**: Manages the presentation layer, rendering the HTML to be sent to the client.
Django follows the Model-View-Template (MVT) architecture. In this architecture:
- **Model**: Represents the data structure and handles database interactions.
- **View**: Contains the business logic and processes user requests, returning responses.
- **Template**: Manages the presentation layer, rendering the HTML to be sent to the client.
Ques:- How are dictionaries implemented?
Asked In :-
Techversant Infotech, Citrus Informatics (India), Digite Infotech, Triad Software, Thales Group, Marquardt, Thryve Digital, Silicon Stack, ETIQU, Paktolus Solutions,
Ques:- Django group_by query
Asked In :-
FUTURISM TECHNOLOGIES PVT, AppItSimple Infotek Pvt Lmt, Talencia LLC, JustDial, ColorTokens, Thryve Digital, MRI Software, Akasa Labs, Casa Systems, KPIT Technologies,
Right Answer:
In Django, you can use the `annotate()` and `values()` methods to perform a group by query. Here's an example:
```python
from django.db.models import Count
from your_app.models import YourModel
result = YourModel.objects.values('field_to_group_by').annotate(count=Count('id'))
```
This will group the records by `field_to_group_by` and count the number of occurrences for each group.
In Django, you can use the `annotate()` and `values()` methods to perform a group by query. Here's an example:
```python
from django.db.models import Count
from your_app.models import YourModel
result = YourModel.objects.values('field_to_group_by').annotate(count=Count('id'))
```
This will group the records by `field_to_group_by` and count the number of occurrences for each group.
Ques:- How to convert a string into float ?
Asked In :-
PureSoftware, OIP, WAEC, American Megatrends Inc, Streebo Solutions, Perennial System, Thryve Digital, Sentienz, Octoze Technologies, ncce,
Ques:- Explain inheritance in python with an example ?
Asked In :-
Girmiti Software, Verticurl Marketing, Code Genesis, Harbinger, Renault Nissan, iauro systems, Thryve Digital, NAVYA, Microchip, Cradlepoint,
Right Answer:
Inheritance in Python allows a class (child class) to inherit attributes and methods from another class (parent class). This promotes code reuse and organization.
Example:
```python
class Animal: # Parent class
def speak(self):
return "Animal speaks"
class Dog(Animal): # Child class
def bark(self):
return "Dog barks"
# Usage
dog = Dog()
print(dog.speak()) # Output: Animal speaks
print(dog.bark()) # Output: Dog barks
```
Inheritance in Python allows a class (child class) to inherit attributes and methods from another class (parent class). This promotes code reuse and organization.
Example:
```python
class Animal: # Parent class
def speak(self):
return "Animal speaks"
class Dog(Animal): # Child class
def bark(self):
return "Dog barks"
# Usage
dog = Dog()
print(dog.speak()) # Output: Animal speaks
print(dog.bark()) # Output: Dog barks
```
Thryve Digital Health, with its headquarters in Chennai and another center in Hyderabad, India is one of health care’s first global development centers where 3800 best minds in health care technology, science, and business create powerful and innovative solutions that transform lives.
Thryve creates solutions that enable the “provider” network with the intelligence, connectivity, and seamless integration demanded by its multi-platform healthcare systems. Thryve Digital Health’s Solutions services include:
• IT Health Plan and IT Health Consumer Solutions
• Application & Platform Management
• Enterprise Solutions & Transformations
• Development
• Testing
• Diversified Business Solutions
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