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NEW QUESTION: 1
The certificate type determines: which statements are correct?
A. How the system reacts if the certificate is not available at goods receipt
B. Whether a certificate is needed for each purchase order item
C. whether a certificate is needed for each goods receipt
D. All are false
Answer: A,C

NEW QUESTION: 2
Sie entwickeln eine .NET Core MVC-Anwendung, mit der Kunden nach Hotels suchen können. Die Anwendung verwendet Azure Search. Die Anwendung durchsucht den Index nach verschiedenen Kriterien, um Dokumente zu finden, die sich auf Hotels beziehen. Der Index enthält Suchfelder für die Rate, eine Liste der Annehmlichkeiten und die Entfernung zum nächstgelegenen Flughafen.
Die Anwendung muss die folgenden Szenarien zum Angeben von Suchkriterien und zum Organisieren von Ergebnissen unterstützen:
* Durchsuchen Sie den Index mit regulären Ausdrücken.
* Organisieren Sie die Ergebnisse nach Anzahl der Name-Wert-Paare.
* Liste der Hotels innerhalb einer bestimmten Entfernung zu einem Flughafen, die in eine bestimmte Preisspanne fallen.
Sie müssen die SearchParameters-Klasse konfigurieren.
Welche Eigenschaften sollten Sie konfigurieren? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation

Box 1: QueryType
The SearchParameters.QueryType Property gets or sets a value that specifies the syntax of the search query.
The default is 'simple'. Use 'full' if your query uses the Lucene query syntax.
You can write queries against Azure Search based on the rich Lucene Query Parser syntax for specialized query forms: wildcard, fuzzy search, proximity search, regular expressions are a few examples.
Box 2: Facets
The facets property gets or sets the list of facet expressions to apply to the search query. Each facet expression contains a field name, optionally followed by a comma-separated list of name:value pairs.
Box 3: Filter
The Filter property gets or sets the OData $filter expression to apply to the search query.
References:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.search.models.searchparameters
https://docs.microsoft.com/en-us/azure/search/query-lucene-syntax
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.search.models.searchparameters.querytype

NEW QUESTION: 3
You need to use the Python language to build a sampling strategy for the global penalty detection models.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: import pytorch as deeplearninglib
Box 2: ..DistributedSampler(Sampler)..
DistributedSampler(Sampler):
Sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with class:`torch.nn.parallel.DistributedDataParallel`. In such case, each process can pass a DistributedSampler instance as a DataLoader sampler, and load a subset of the original dataset that is exclusive to it.
Scenario: Sampling must guarantee mutual and collective exclusively between local and global segmentation models that share the same features.
Box 3: optimizer = deeplearninglib.train. GradientDescentOptimizer(learning_rate=0.10) Incorrect Answers: ..SGD..
Scenario: All penalty detection models show inference phases using a Stochastic Gradient Descent (SGD) are running too slow.
Box 4: .. nn.parallel.DistributedDataParallel..
DistributedSampler(Sampler): The sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with :class:`torch.nn.parallel.DistributedDataParallel`.
References:
https://github.com/pytorch/pytorch/blob/master/torch/utils/data/distributed.py