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  • Exam Number/Code : Professional-Data-Engineer
  • Exam Name : Google Certified Professional Data Engineer Exam
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
What are the two most commonly used authentication factors in multifactor authentication? (Choose two.)
A. confidentiality factor
B. encryption factor
C. biometric factor
D. knowledge factor
E. time factor
Answer: C,D

NEW QUESTION: 2
Which option describes how OBIEE Integrates with Planning?
A. OBIEE integrates with Planning directly through relational database access.
B. Planning is not a supported OBIEE source.
C. OBIEE primarily accesses Planning using standard Essbase integration techniques.
D. OBIEE provides complete access to all Planning data through the Analytic Data Model (ADM) layer.
Answer: C
Explanation:
A:
*Combining Relational and OLAP Data Sources: Oracle's Common Enterprise Information Model allows users to combine data from a relational system and an OLAP source in a single calculation.
For example, a user can compare sales forecasts from an Oracle CRM System with budget data from an Oracle Essbase planning application. To clients of the Common Enterprise Information Model, the forecast and budget data appear to be from the same logical source.
*The Essbase server provides advanced multi-user read and write capabilities, including data update and multi-user recalculation. Business users with front-end tools can write data back to a server and recalculate the data on a server using calculation scripts-key functionality to support sophisticated modeling and planning applications.
*Using aggregate storage, Essbase serves a wide range of analytic needs-financial analysis, planning, budgeting, sales analysis, marketing analysis, supply-chain analysis, and profitability analytics-all from a single analytic infrastructure.
Note 2: Data model for business intelligence The most important component of business intelligence is the concept of 'data model'. data model determinde what kind of analysis that end user could do with the data. It is also an independant concept that could span across different vendor 's product.
Unlike data model of the transaction system, the typical analytic data model is often denormalized and store extra data for analytic query and better query performance while transaction data model use is often normalized and optimized for a few data read and write, which is implemented by jointing many tables.
The most common used analytic data model in business intelligence is call the 'Star schema' data model.
With the Oracle business intelligence system, We could define star schema and dimension data model in the 'logical layer' in the admin tools. The data model in OBIEE could span different data source in physical layer, which means OBIEE have the capability of building one logical data model which is actually connect to different database in the backend

NEW QUESTION: 3
Which three interest rate calculation formula methods are supported in Receivables? (Choose three.)
A. Declining Balance
B. Compound
C. Average
D. Flat Rate
E. Simple
Answer: B,D,E
Explanation:
Explanation/Reference:
Explanation:
The interest calculation formulas are flat rate, simple and compound.
Note: The interest calculation formulas are:
Flat Rate: Use a flat rate to calculate the late charge amount. Receivables ignores the number of days that a payment is overdue. If you use balance forward billing and the average daily balance calculation method, then this is the calculation formula used. The formula is:
Amount Overdue * (Interest Rate/100)
Simple: Calculate late charges on overdue transactions only. If you use interest tiers and charge schedules to create late charges and penalties, then this is the calculation formula used. The formula is:
Amount Overdue * (Interest Rate/100) * (Number of Days Late/Number of Days in Period) Compound: Calculate late charges on the sum of overdue transactions and prior late charges. The formula is:
(Amount Overdue + Prior Late Charges) * (Interest Rate/100) * (Number of Days Late/Number of Days in Period) References: https://docs.oracle.com/cd/E37583_01/doc.1116/e22896/F455009AN181AF.htm

NEW QUESTION: 4
By 2015, how big is the Smart Grid market estimated to be (Pike Research estimate)?
A. 100 Billion Dollars
B. 200 Billion Dollars
C. 300 Billion Dollars
D. 400 Billion Dollars
E. 500 Billion Dollars
Answer: C
Explanation:
Explanation/Reference:
Reference: http://www.pikeresearch.com/newsroom/smart-grid-cyber-security-market-to-reach-3-7-billion- by-2015

 

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