In supply chain management, 'Inventory ______' is a critical metric for tracking stock efficiency.
- Accuracy
- Forecasting
- Replenishment
- Turnover
'Inventory Turnover' is a vital metric in supply chain management that measures how many times a company's inventory is sold and replaced over a specific period. A higher turnover ratio indicates efficient stock management.
For a global e-commerce platform that requires high availability and scalability, what kind of database architecture would be most appropriate?
- Centralized Database
- Distributed Database
- NoSQL Database
- Relational Database
A global e-commerce platform with high availability and scalability requirements would benefit from a Distributed Database architecture. Distributed databases distribute data across multiple servers or locations, ensuring both availability and scalability for a large user base and global operations.
In a situation where you need to merge two datasets in R using dplyr, but the key columns have different names, how would you approach this?
- bind_rows()
- left_join()
- merge() with by parameter
- rename()
To merge datasets in dplyr with different key column names, you can use the rename() function to rename the key columns in one or both datasets, ensuring they match. This allows you to then use the standard left_join() or other merge functions.
In a project involving customer feedback analysis, which preprocessing step would you prioritize to handle various slangs and abbreviations in the feedback texts?
- Lemmatization
- Stopword Removal
- Text Normalization
- Tokenization
Text normalization is essential for handling slangs and abbreviations. It involves steps like converting text to lowercase, removing special characters, and standardizing abbreviations to ensure uniformity in the data.
An API key is used as a form of _________ to control access to an API.
- Authentication
- Authorization
- Encryption
- Validation
An API key is used as a form of authentication to control access to an API. It serves as a unique identifier for a user or application and helps ensure that only authorized entities can access the API's resources.
In distributed computing, what kind of data structure is often used for managing scalable, partitioned, and replicated data?
- AVL Tree
- Bloom Filter
- Distributed Hash Table (DHT)
- Red-Black Tree
Distributed Hash Tables (DHTs) are commonly used in distributed computing to manage scalable, partitioned, and replicated data. DHTs provide a decentralized way to distribute and locate data across multiple nodes in a network, ensuring efficient access and fault tolerance.
In time series analysis, _______ is a common method used to smooth out short-term fluctuations and highlight longer-term trends or cycles.
- Exponential Smoothing
- Monte Carlo Simulation
- Moving Average
- Regression Analysis
Exponential smoothing is a technique used in time series analysis to emphasize longer-term trends or cycles by giving more weight to recent observations. It's valuable for forecasting and trend analysis.
What is the primary goal of time series analysis in data analysis?
- Compare data across different categories
- Identify patterns and trends over time
- Predict future events based on past observations
- Summarize data for a specific period
The primary goal of time series analysis is to identify patterns and trends over time, helping analysts understand the underlying factors influencing the data and make predictions for future events based on historical observations.
In a case study about improving online customer engagement, which metric should be prioritized for analysis?
- Bounce Rate
- Click-Through Rate (CTR)
- Conversion Rate
- Customer Lifetime Value (CLV)
Conversion Rate is a critical metric to prioritize when aiming to improve online customer engagement. It measures the percentage of users who take a desired action, such as making a purchase or signing up. A higher conversion rate indicates better engagement and effectiveness of the online platform. Other metrics like CTR, Bounce Rate, and CLV provide valuable insights but may not directly reflect engagement effectiveness.
What is a common tool used for ETL processes in data warehousing?
- Apache Hadoop
- Apache Spark
- Microsoft Excel
- MySQL
Apache Spark is a common tool used for ETL processes in data warehousing. It provides a fast and general-purpose cluster computing system for big data processing and analytics.