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NEW QUESTION: 1
個人のデバイスがネットワークに接続することを組織が許可している場合、最大の懸念は次のどれですか?
A. ITインフラストラクチャのコストが増加します。
B. 従業員のプライバシーを維持することは困難です。
C. 個人のデバイスにセキュリティポリシーを適用するのは難しい
D. ヘルプデスクの従業員は、デバイスをサポートするために追加のトレーニングを必要とします。
Answer: C
NEW QUESTION: 2
Define Marketing Attribute for "Replicate marketing attributes from CRM ~ 7 C4C"
Please choose the correct answer. Choose one:
A. Marketing attributes are defined in SAP CRM
B. Marketing attributes are defined in "future vision"
C. The integration of the definition of the marketing attribute is uni-directional from CRM to C4C
D. Revenue Marketing Attribute contains >20millions
Answer: A
NEW QUESTION: 3
You design a Business Intelligence (BI) solution by using SQL Server 2008. You design a SQL Server 2008
Reporting Services (SSRS) report that meets the following requirements:
-Displays sales data for the last 12 months.
-Enables users to view the sales information summarized by month.
-Enables users to view individual sales orders for any given month.
You need to design the report to minimize the impact on bandwidth.
What should you do?
A. Create a standard report that contains the monthly summaries. Create a drillthrough report for the sales orders for any given month.
B. Create a standard report that contains the monthly summaries. Create a subreport for the sales orders for any given month.
C. Create a standard report that contains all sales orders. Implement report filtering based on the month.
D. Create a standard report that contains all sales orders. Implement grouping for the monthly summaries.
Answer: A
NEW QUESTION: 4
In Spatial Analysis and Mining, what does the term binning mean?
A. binary searches
B. compressing data
C. partitioning data by size
D. classifying data based on location
E. simple sort
Answer: D
Explanation:
Explanation/Reference:
The spatial analysis and mining features in Oracle Spatial let you exploit spatial correlation by using the location attributes of data items in several ways: for binning (discretizing) data into regions (such as categorizing data into northern, southern, eastern, and western regions), for materializing the influence of neighborhood (such as number of customers within a two-mile radius of each store), and for identifying colocated data items (such as video rental stores and pizza restaurants).
References: https://docs.oracle.com/cd/B28359_01/appdev.111/b28400/
sdo_sam_concepts.htm#SPATL070
