DataMetica Interview Questions, Process, and Tips for Experienced

SQL NORMAL QUESTIONS

Q1. PYTHON QUESTIONS
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Q1. GCP INTERVIEW QUESTIONS
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Q1. DISCUSSION ROUND
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Q1. What is RBAC in Kubernetes ?
Ans. 
RBAC in Kubernetes stands for Role-Based Access Control, which is used to control access to resources based on roles assigned to users.
• RBAC allows administrators to define roles with specific permissions for accessing resources in a Kubernetes cluster.

• Roles can be assigned to users or groups, allowing fine-grained control over who can perform certain actions.

• RBAC includes four primary components: Role, RoleBinding, Clu...read more
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Q2. What are security features in gcp ?
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Google Cloud Platform (GCP) offers various security features to protect data and resources.
• Identity and Access Management (IAM) for controlling access to resources

• Encryption at rest and in transit to protect data

• Network security with Virtual Private Cloud (VPC) and firewall rules

• Security Key Enforcement for two-factor authentication

• Security Scanner for vulnerability assessment

• Cloud Security Command Center for centraliz
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Q1. What is fact and dimensions
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Facts and dimensions are key concepts in data warehousing. Facts are numerical data that can be measured, while dimensions are descriptive attributes related to the facts.
• Facts are quantitative data that can be aggregated, such as sales revenue or quantity sold.

• Dimensions are descriptive attributes that provide context to the facts, such as product category, customer name, or date.

• Facts are typically stored in fact tab...read more
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Q2. ETL and Datawarehouse questions
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Q1. Explain traps in sap bo
Ans. 
Traps in SAP BO are common mistakes or issues that users may encounter while working with the software.
• Traps can include incorrect data mappings leading to inaccurate reports

• Traps can also involve using incorrect formulas or functions in reports

• Another trap is not properly setting up security permissions, leading to unauthorized access to sensitive data
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Q2. How will you improve performance of a report
Ans. 
To improve performance of a report, optimize queries, reduce data volume, use indexes, and cache data.
• Optimize queries by using proper filters and aggregations

• Reduce data volume by limiting unnecessary columns and rows

• Use indexes on frequently used columns for faster data retrieval

• Cache data to reduce the need for repeated queries
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Q3. Can you create a webi report without logging in?
Ans. 
No, a user must log in to create a webi report.
• A user must have the necessary permissions and access to create a webi report.

• Logging in ensures that the user's identity is authenticated and authorized to perform the action.

• Without logging in, the system cannot verify the user's credentials or permissions.
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Q4. What is aggregate table
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An aggregate table is a table that contains aggregated data from one or more source tables.
• Used to improve query performance by pre-calculating and storing aggregated data

• Reduces the need to perform complex calculations on the fly

• Commonly used in data warehousing and business intelligence applications
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Q5. How will you point report to a new database
Ans. 
To point a report to a new database, you need to update the data source connection in the report settings.
• Open the report in SAP BO and go to the data source connection settings.

• Update the connection details like server name, database name, username, and password.

• Test the connection to ensure it is successful.

• Save the changes and refresh the report to fetch data from the new database.
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Q6. What are the @functions
Ans. 
The @functions in SAP BO are used for manipulating data and performing calculations in reports.
• Used for performing calculations and manipulating data in reports

• Can be used for conditional formatting

• Examples include @sum, @avg, @count
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Q7. What is data mining?
Ans. 
Data mining is the process of analyzing large datasets to discover patterns, trends, and insights.
• Data mining involves extracting useful information from large datasets

• It uses various techniques such as machine learning, statistics, and artificial intelligence

• Examples include market basket analysis, customer segmentation, and fraud detection
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