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AWS Certified Machine Learning - Specialty
- Exam Number/Code : MLS-C01
- Exam Name : AWS Certified Machine Learning - Specialty
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
- Price:
$ 99.00$ 39.00
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NEW QUESTION: 1
Which statement is NOT true about a PSM?
A. It must always include all details necessary to produce an implementation.
B. It always includes a detailed model of the platform.
C. It may abstract away some of the platform details
D. It must always be able to produce an implementation.
Answer: B
NEW QUESTION: 2
Ein Benutzer hat vor ungefähr sechs Monaten ein brandneues Mobilgerät erhalten. Das Gerät läuft jetzt sehr langsam und ist heißer als normal. Bestimmte Anwendungen stürzen beim Start ab.
Welche der folgenden Optionen sind die BESTEN zur Fehlerbehebung bei diesem Telefon? (Wähle zwei.)
A. Überprüfen Sie das Ladekabel des Smartphones, um sicherzustellen, dass es ordnungsgemäß funktioniert.
B. Überprüfen Sie den Akku des Geräts und ersetzen Sie ihn.
C. Überprüfen Sie den Bildschirm des Smartphones und ersetzen Sie ihn.
D. Überprüfen Sie, ob Anwendungen ausgeführt werden, und stoppen Sie sie.
E. Suchen Sie nach Betriebssystemupdates und installieren Sie diese.
F. Suchen Sie nach unnötigen Anwendungen und deinstallieren Sie sie.
Answer: B,F
NEW QUESTION: 3
Life insurance policy in which two people are covered on one policy is called:
A. Group life insurance
B. Mortgage life insurance
C. Whole life insurance
D. Survivors universal insurance
Answer: D
NEW QUESTION: 4
All of the following are useful for forecasting the needed level of inventory except:
A. Internal accounting allocations of costs to different segments of the company.
B. Information about seasonal variations in demand.
C. Econometric modeling.
D. Knowledge of the behavior of business cycles.
Answer: A
Explanation:
Forecasts are the basis for business plans. Models are used in the forecasting process to make decisions that optimize future results. Internal accounting allocations of costs to different segments of the company are arbitrary assignments of already incurred costs that do not have anything to do with forecasting demand. An organization has collected data on the complaints made by personal computer users and has categorized the complaints.