Aim/Purpose:
a. To describe the distribution and magnitude of health and
disease problems in human populations.
b. To identify etiological factors (risk factors) in the pathogenesis of disease.
c. To provide the data essential to the planning, implementation and evaluation
of services for the prevention, control and treatment of disease
and to the setting up of priorities among those services.
Use/scope:
1. Describe the spectrum of disease 7. Investigate epidemics of unknown...
1
# Hw *8
addition = float(input("Enter the annual addition of public residential land (in sq land):"))
years = 0
current_total = initial_total
while current_total < target_total:
years += 1
private_residential = private_residential*1.03
public_residential = public_residential + addition
current_total = private_residential + public_residential + rurual_settlement
print(f"It will take at least {years} year(s) for the residential land in Hong Kong to double in size.")
In cost accounting, managing materials is a massive undertaking because materials often account for 50% or more of the total cost of production. Here is a breakdown of how costs are classified and how material inventory is managed.
## **1. Classification of Costs** Costs can be classified in several ways to help management understand their behavior and impact.
### **By Nature or Element** **Material:** The cost of commodities supplied to an undertaking.
* **Labor:** The cost of remuneration (wages/
Cost accounting is a specialized branch of accounting that focuses on capturing a company's total costs of production by assessing the variable costs of each step of production, as well as fixed costs. It is an essential tool for management to make informed decisions.
## **1. Nature of Cost Accounting**
Cost accounting is both an art and a science, serving as a critical internal subsystem of an organization's information system.
* **Internal Focus:** Unlike financial accounting, which provides information
Q)Explain RDD and its operations.
-RDD (Resilient Distributed Dataset)
An RDD (Resilient Distributed Dataset) is the fundamental data structure of Apache Spark. It is a fault-tolerant collection of elements that is distributed across multiple nodes in a cluster and can be processed in parallel.
RDDs are called resilient because they can automatically recover lost data using lineage information (i.e., how the data was created).
Key Features of RDD:
Distributed: Data is split across multiple machines.
║ GOOGLE DATA CENTER TECHNICIAN L3 — MASTER INTERVIEW CHEAT SHEET ║
THE INTERVIEW PROCESS
STAGE 1 — Recruiter Screen
• Background check, location confirm, basic fit questions
• "Why Google?" "Are you OK with shift work?" "Can you relocate?"
• Takes ~46 days avg from apply to hire
STAGE 2 — Technical Phone Screen
• Rapid-fire fundamentals: protocols, commands, definitions
• 20-30 questions, short answers expected
• No NDA — questions are mostly...
Data Warehouse: centralized repository storing integrated and historical data for analysis and decision-making; Characteristics of Data Warehouse: subject-oriented, integrated, time-variant, non-volatile; OLAP: technology used for fast multidimensional data analysis; OLAP Operations: slice (single dimension), dice (multiple dimensions), drill-down (detailed view), roll-up (summary view); Data Cube: multidimensional structure representing data across dimensions like time, product, and location; Star...
Charles II (1660-85), Charles I's son, had spent his exile in France; he was an admirer of the Sun King, Louis XIV, and he had French tastes. Therefore, when the monarchy was restored in 1660 and he came back to England, he established a court devoted to pleasure. Theatres, race-courses and taverns re-opened, and fashion and gossip replaced religious debate. The reaction to the Civil War and Puritan Commonwealth varied from the rejection of strict morality to a more rational interest in the real,Data cube computation is a fundamental concept in data warehousing and OLAP (Online Analytical Processing), used to precompute and store aggregated data for efficient querying. A data cube consists of multiple dimensions and measures, enabling users to analyze data at different levels of granularity. However, computing all possible aggregates can be expensive in terms of time and storage, so efficient computation methods are required.
One common method is