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NEW QUESTION: 1
Given:
public class Main {
public static void main(String[] args) {
try {
doSomething();
}
catch (SpecialException e) {
System.out.println(e);
}}
static void doSomething() {
int [] ages = new int[4];
ages[4] = 17;
doSomethingElse();
}
static void doSomethingElse() {
throw new SpecialException("Thrown at end of doSomething() method"); }
}
What is the output?
A. Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 4
at Main.doSomething(Main.java:12)
at Main.main(Main.java:4)
B. SpecialException: Thrown at end of doSomething() method at
Main.doSomethingElse(Main.java:16)
at Main.doSomething(Main.java:13)
at Main.main(Main.java:4)
C. Error in thread "main" java.lang.
ArrayIndexOutOfBoundseror
D. SpecialException: Thrown at end of doSomething() method
Answer: A
Explanation:
The following line causes a runtime exception (as the index is out of bounds):
ages[4] = 17;
A runtime exception is thrown as anArrayIndexOutOfBoundsException.
Note: The third kind of exception (compared to checked exceptions and errors) is the runtime
exception. These are exceptional conditions that are internal to the application, and that the
application usually cannot anticipate or recover from. These usually indicate programming bugs,
such as logic errors or improper use of an API.
Runtime exceptionsare not subjectto the Catch or Specify Requirement. Runtime exceptions are
those indicated byRuntimeExceptionand its subclasses.

NEW QUESTION: 2

Data sasuser.history;
Set sasuser.history(keep=state x y
Rename = (state=ST));
Total=sum(x, y);
Run;

A. Option C
B. Option D
C. Option A
D. Option B
Answer: A

NEW QUESTION: 3
会社のソリューションを設計しています。このソリューションでは、客観的な分類にモデルトレーニングを使用します。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. Azure Cognitive Servicesアプリケーション
B. Spark MLibを使用するSparkアプリケーション。
C. Spark Streamingジョブ
D. インタラクティブなSparkクエリ
E. Power BIモデル
Answer: B
Explanation:
Explanation
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython

NEW QUESTION: 4
Determine how much water is in the graduated cylinder drawn below by reading the bottom of the meniscus (surface of water).

A. 5.5 ml
B. 6.5 ml
C. 10.0 ml
D. 3.0 ml
E. 7.5 ml
Answer: E
Explanation:
Explanation/Reference:
Explanation:
The top division on the graduated cylinder is the 10 ml mark. There are 10 divisions, so each one is 1 ml.
The bottom of the meniscus is between 7 ml and 8 ml, so 7.5 ml is the best answer.