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NEW QUESTION: 1



A. ${'input[name="*name"]').css({'background=color': #E0ECF8'});
B. $( 'input [name="$name"] ') .css ({ 'background-color' : '#E0ECF8'});
C. ${'input [name="~name"] ') .css ({ 'background-color' : ' #E0ECF8' }) ;
D. $ ('input [name!="name"]') .css ({ 'background-color' : ' #E0ECF8'}) ;
Answer: A
Explanation:
Explanation: The string pattern "*name" matches all strings that ends with name.

NEW QUESTION: 2
You are developing a .NET Core MVC application for customers to research hotels. The application will use Azure Search. The application will search the index by using various criteria to locate documents related to hotels. The index will include search fields for rate, a list of amenities, and distance to the nearest airport.
The application must support the following scenarios for specifying search criteria and organizing results:
* Search the index by using regular expressions.
* Organize results by counts for name-value pairs.
* List hotels within a specified distance to an airport and that fall within a specific price range.
You need to configure the SearchParameters class.
Which properties should you configure? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

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 are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable.
Which three requirements should they include? Choose 3 answers
A. Ensure all third-party systems your services use are capable of handling high load.
B. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
C. Instrument the production services to record every transaction for replay by the load-testing tool.
D. Ensure that the load tests validate the performance of Cloud Bigtable.
E. Create a separate Google Cloud project to use for the load-testing environment.
F. Schedule the load-testing tool to regularly run against the production environment.
Answer: B,D,E
Explanation:
A (Correct answer) - Ensure that the load tests validate the performance of Cloud Bigtable.
At first thought, it seems Bigtable is managed service seamlessly scaling, there is no need to load test it. But you probably already know, there are many factors impacting the Bigtable performance. The common one of them, poorly designed table structure.
With poorly performed BigTable, the cluster would continue to scale, add more and more nodes, as the load increasing, cost more and more. Not matter how good is the cluster managed, this is exact situation that needs to prevent. In fact, tests validate the performance of Cloud Bigtable is one of the most important testing goals for BigTable performance.
B (Correct answer) - Create a separate Google Cloud project to use for the load-testing environment.
This is a good practice for least privileges and separation of responsibilities.
C - Schedule the load-testing tool to regularly run against the production environment.
You should not do load testing RGULARLY against production environment; In fact, somebody has suggested Load test in production should avoid entirely.
D - Ensure all third-party systems your services used are capable of handling high load This is out of scope - it's beyond your control. You may test them, but you cannot control them. If you have doubts the third-party dependencies causing the overall performance issue, you may use integration test to identify and isolate them. This should not be your focus.
E - Instrument the production services to record every transaction for replay by the load-testing tool.
This would be way too much: not only the detailed instrumentation may impact the production performance, it's also possible the instrumentation itself distorts the test results - remember, Bigtable is for multiple terabyte or even petabyte NoSQL database for high throughput with low latency read and write.
F (Correct answer) - Instrument the load-testing tool and the target services with detailed logging and metrics collection.
This is normal requirement and practice for load testing to collect testing results with detailed measurable metric and historical logs otherwise load testing would be meaningless More Resource Understanding Cloud Bigtable Performance
https://cloud.google.com/bigtable/docs/performance

NEW QUESTION: 4
You are developing an ASP.NET MVC application that delivers real-time game results to sports fans. The application includes the following code. Line numbers are included for reference only.

The source data for the game results is updated every 30 seconds.
Testers report the following issues with the application:
They report seeing other user's name when they sign in to the application.

They report delays in seeing the latest game results.

You need to correct the performance issues.
Which two changes should you make to the code? Each correct answer presents part of the solution.
A. Replace the code at line 07 with the following code segment:[OutputCache(Duration = 3600, VaryByParam = "none", Location = OutputCacheLocation.Server, NoStore = false)]
B. Replace the code at line 12 with the following code segment:[OutputCache(Duration = 3600, VaryByParam = "none", Location = OutputCacheLocation.Client, NoStore = true)]
C. Replace the code at line 07 with the following codesegment:[OutputCache(Duration = 30, VaryByParam = "none", Location = OutputCacheLocation.Client, NoStore = true)]
D. Replace the code at line 12 with the following code segment:[OutputCache(Duration = 30, VaryByParam = "none", Location = OutputCacheLocation.Server, NoStore = true)]
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:
B: They report delays in seeing the latest game results. This is the output of the GetResults() function. We decrease the Duration in the cache for this function from 3600 to 30. This is one line 12.
A: They report seeing other user's name when they sign in to the application. This is the output of the GetUserInfo() function. We should change the OutputCacheLocation ofthe caching of this function from Server to Client. This is on line 7.
Note: The OutputCacheLocation.Client option indicates that the content should be cached at the requesting client. Any requests for the same resource made from the same client within the expiry period, will be served out the client's cache, without a network request being made to the server.
The OutputCacheLocation.Server option indicates that the content will be cached at the origin server. This content will be served for subsequent requests made by the initial client and any other client requesting the same resource within the expiry period.
References: https://growlycode.wordpress.com/2014/01/10/mvc4-outputcache-location-basics/