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Exam Code: C1000-142

Exam Name: IBM Cloud Advocate v2

Certification Provider: IBM

Related Certification: IBM Cloud Advocate v2

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NEW QUESTION: 1
次の表に示すAzure仮想マシンを含むAzureサブスクリプションがあります。

次の表に示すように、NS61という名前のネットワークセキュリティグループ(NSG)に受信セキュリティルールを追加します。

次の展示に示すように、Azure Network Watcherを実行します。

次の展示に示すように、Network Watcherを再度実行します。

次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注:それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:


NEW QUESTION: 2
Which of the following is based on the premise that the quality of a software product is a direct function of the quality of its associated software development and maintenance processes?
A. Expert Systems Model
B. The Spiral Model
C. The Waterfall Model
D. The Software Capability Maturity Model (CMM)
Answer: D
Explanation:
The Capability Maturity Model (CMM) is a service mark owned by Carnegie Mellon
University (CMU) and refers to a development model elicited from actual data. The data was
collected from organizations that contracted with the U.S. Department of Defense, who funded the
research, and became the foundation from which CMU created the Software Engineering Institute
(SEI). Like any model, it is an abstraction of an existing system.
The Capability Maturity Model (CMM) is a methodology used to develop and refine an
organization's software development process. The model describes a five-level evolutionary path
of increasingly organized and systematically more mature processes. CMM was developed and is
promoted by the Software Engineering Institute (SEI), a research and development center
sponsored by the U.S. Department of Defense (DoD). SEI was founded in 1984 to address
software engineering issues and, in a broad sense, to advance software engineering
methodologies. More specifically, SEI was established to optimize the process of developing,
acquiring, and maintaining heavily software-reliant systems for the DoD. Because the processes
involved are equally applicable to the software industry as a whole, SEI advocates industry-wide
adoption of the CMM.
The CMM is similar to ISO 9001, one of the ISO 9000 series of standards specified by the
International Organization for Standardization (ISO). The ISO 9000 standards specify an effective
quality system for manufacturing and service industries; ISO 9001 deals specifically with software
development and maintenance. The main difference between the two systems lies in their
respective purposes: ISO 9001 specifies a minimal acceptable quality level for software
processes, while the CMM establishes a framework for continuous process improvement and is
more explicit than the ISO standard in defining the means to be employed to that end.
CMM's Five Maturity Levels of Software Processes
At the initial level, processes are disorganized, even chaotic. Success is likely to depend on
individual efforts, and is not considered to be repeatable, because processes would not be
sufficiently defined and documented to allow them to be replicated.
At the repeatable level, basic project management techniques are established, and successes
could be repeated, because the requisite processes would have been made established, defined,
and documented.
At the defined level, an organization has developed its own standard software process through greater attention to documentation, standardization, and integration. At the managed level, an organization monitors and controls its own processes through data collection and analysis. At the optimizing level, processes are constantly being improved through monitoring feedback from current processes and introducing innovative processes to better serve the organization's particular needs.
When it is applied to an existing organization's software development processes, it allows an effective approach toward improving them. Eventually it became clear that the model could be applied to other processes. This gave rise to a more general concept that is applied to business processes and to developing people. CMM is superseded by CMMI
The CMM model proved useful to many organizations, but its application in software development has sometimes been problematic. Applying multiple models that are not integrated within and across an organization could be costly in terms of training, appraisals, and improvement activities. The Capability Maturity Model Integration (CMMI) project was formed to sort out the problem of using multiple CMMs.
For software development processes, the CMM has been superseded by Capability Maturity Model Integration (CMMI), though the CMM continues to be a general theoretical process capability model used in the public domain. CMM is adapted to processes other than software development
The CMM was originally intended as a tool to evaluate the ability of government contractors to perform a contracted software project. Though it comes from the area of software development, it can be, has been, and continues to be widely applied as a general model of the maturity of processes (e.g., IT Service Management processes) in IS/IT (and other) organizations.
Source: http://searchsoftwarequality.techtarget.com/sDefinition/0,,sid92_gci930057,00.html and http://en.wikipedia.org/wiki/Capability_Maturity_Model

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Remove the entire column that contains the missing data point.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Use the Multiple Imputation by Chained Equations (MICE) method.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION: 4
A company has an Amazon VPC that is divided into a public subnet and a private subnet A web application runs in Amazon VPC, and each subnet has its own NACL The public subnet has a CIDR of 10.0.0.0/24. An Application Load Balancer is deployed to the public subnet. The private subnet has a CIDR of 10.0.1.0/24.
Amazon EC2 instances that run a web server on port 80 are launched into the private subnet.
Only network traffic that is required for the Application Load Balancer to access the web application can be allowed to travel between the public and private subnets What collection of rules should be written to ensure that the private subnet's NACL meets the requirement?
(Select TWO.)
A. An inbound rule for port 80 from source 0.0.0 0/0
B. An inbound rule for port 80 from source 10.0.0.0/24
C. An outbound rule for port 80 to destination 0.0.0.0/0
D. An outbound rule for ports 1024 through 65535 to destination 10.0.0.0/24
E. An outbound rule for port 80 to destination 10.0.0.0/24
Answer: C,E


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