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NEW QUESTION: 1
キャンペーン詳細ページの[キャンペーンメンバー]関連リストは、次のユーザーを表します。
A. このキャンペーンの実行中に電子メールなどが送信されるのはだれになります
B. 誰がこのキャンペーンのターゲットになりますか（販売機会、つまり注文を生成するため）
Answer: B
NEW QUESTION: 2
HOTSPOT
Answer:
Explanation:
NEW QUESTION: 3
Which of the following Veeam ONE components have a web-based UI? (Choose two.)
A. Veeam ONE Monitor
B. Veeam ONE Reporter
C. Veeam ONE Collector
D. Veeam ONE Business View
Answer: B,D
Explanation:
Explanation/Reference:
Explanation:
Reference: https://helpcenter.veeam.com/docs/one/deployment/architecture.html?ver=95
NEW QUESTION: 4
A. Indicator
B. Sparkline
C. Gauge
D. Data Bar
E. Image
Answer: A,C
Explanation:
B: The Gauge data region is a one-dimensional data region that displays a
single value in your dataset. An individual gauge is always positioned inside a gauge panel,
where you can add child or adjacent gauges.
You can use gauges to perform many tasks in a report:
Display key performance indicators (KPIs) in a single radial or linear gauge.
Place a gauge inside a table or matrix to illustrate values inside each cell.
Use multiple gauges in a single gauge panel to compare data between fields.
C: Indicators are minimal gauges that convey the state of a single data value at a glance.
The icons that represent indicators and their states are simple and visually effective even
when used in small sizes.
You can use state indicators in your reports to show the following:
Trends by using trending-up, flat (no change), or trending-down arrows.
State by using commonly recognized symbols such as checkmarks and exclamation
marks.
Conditions by using commonly recognized shapes such traffic lights and signs.
Ratings by using common recognized shapes and symbols that show progress such
number of quadrants in a square and stars.
Incorrect: Not A, not D: Sparklines and data bars are small, simple charts that convey a lot of information in a little space, often inline with text. Sparklines and data bars are often used in tables and matrices. Their impact comes from viewing many of them together and being able to quickly compare them one above the other, rather than viewing them singly. They make it easy to see the outliers, the rows that are not performing like the others. Although they are small, each sparkline often represents multiple data points, often over time. Data bars can represent multiple data points, but typically illustrate only one.
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