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NEW QUESTION: 1
What are the top 2 (two) functional objectives identified by organizations with active big data pilots or implementations?
A. Operational Outcomes and Risk/Financial Management
B. Customer Centric Outcomes and Operational Optimization
C. Employee Collaboration and Customer Centric Outcomes
D. Risk/Financial Management and New Business Model
Answer: B
Explanation:
Reference:https://www.stevens.edu/howe/sites/default/files/Stevens%20Big%20Data.pdf(sl ide 7, see the image)
NEW QUESTION: 2
You plan to use adaptive thresholds as part of the performance tuning activity. You decide to increase the window size of the default moving window baseline for all metric observations and comparisons in your database. The following error occurs when you try to increase the window size through Enterprise Manager:
Failed to commit: ORA-13541: system moving window baseline size (1296000) greater than retention (1036800) ORA-06512: at "SYS.DBMS_WORKLOAD_REPOSITORY", line 601 ORA-06512: at line 2 Which action would allow you to perform the preceding task successfully?
A. increasing the undo retention period for the database instance
B. increasing the flashback retention period
C. increasing the retention period for SQL Management Base
D. increasing the Automatic Workload Repository (AWR) retention period
Answer: D
NEW QUESTION: 3
DRAG DROP
You need to configure the SalesAnalysis cube to correct the sales analysis by customer calculation.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group. Use Day as the granularity.
From scenario: The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is
15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.