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Google Professional Machine Learning Engineer
- Exam Number/Code : Professional-Machine-Learning-Engineer
- Exam Name : Google Professional Machine Learning Engineer
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
- Price:
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NEW QUESTION: 1
プロジェクト管理計画の段階的詳細は次のように呼ばれます。
A. ローリングウェーブ計画。
B. 仕様。
C. 専門家の判断。
D. 作業実績情報。
Answer: A
NEW QUESTION: 2
An administrator needs to know the estimated time remaining on a virtual machine that is hosting a critical accounting application given current assigned resources such as memory, CPU, and disk.
When an administrator selects the virtual machine in the vCenter Operations Manager console, which major badge should the administrator investigate to determine this information?
A. Risk
B. Efficiency
C. Time Remaining
D. Health
Answer: A
NEW QUESTION: 3
A. Image
B. Sparkline
C. Data Bar
D. Indicator
E. Gauge
Answer: D,E
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.