NFPA Paralegal CORE Competency Exam Exam Dumps

PCCE Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

The format of the PCC Exam follows the proven structure
of NFPAs Paralegal Advanced Competency Exam (PACE).

The exam:

- is two and one-half hours in length;

- consists of 125 multiple choice questions;

- is computer administered with instant
preliminary results, followed by official scoring
run results provided at least quarterly;

- is widely available at many testing centers with
examinations given Monday – Friday, and in
some locations, weekends and evenings;

- consists of two domains:

~ Paralegal Practice – 52%

~ Substantive Areas of Law – 48%

- is based on information from coursework in various
paralegal programs and basic knowledge all
paralegals should possess as well as actual skills
considered essential to basic paralegal competency;

- is also a test of paralegal ethics, legal technology and
key terminology

to provide the groundwork for expanding paralegal
roles and responsibilities;

- to provide the public and legal community with
a mechanism to gauge the core competencies of
paralegals;

- to be used in states considering the regulation of
paralegals; and

- to be used by paralegal programs as an exit exam
or Assurance of Learning tool.

Bachelors degree in any subject, plus a paralegal certificate;

no experience or CLE required; OR

- Bachelors degree in paralegal studies; no experience or
CLE required; OR

- Bachelors degree in any subject, no paralegal certificate,
6 months experience and 1 hour of ethics taken in the year
preceding the exam application date; OR

- Associates degree in paralegal studies, no experience or
CLE required; OR

- Associates degree in any subject, a paralegal certificate,
no experience or CLE; OR

- Associates degree in any subject, no paralegal certificate,
1 year experience and 6 hours of CLE, including 1 hour of
ethics taken in the year preceding the exam application date; OR

- Paralegal certificate from a program that meets or exceeds
the requirements set forth in NFPAs Short Term Paralegal
Program Position Statement, 1 year experience and 6 hours of
CLE, including 1 hour of ethics, taken in the year preceding
the exam application date; OR

- Active, duty, retired or former military personnel qualified
in a military operation specialty as a paralegal and 1.0 hour of
ethics CLE within the year preceding the exam application; OR

- Candidates who are within two months of graduating and
registered for the PCC Exam by a Director of a paralegal
studies program participating in the PCCE Assurance of
Learning (AoL) Program at the Partner level; OR

- High school diploma or GED, 5 years experience and 12 hours
of CLE, including 1 hour of ethics, taken within 2 years
preceding the exam application date.

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PCCE PDF Sample Questions

PCCE Sample Questions

Social-Work-Board
PCCE
NFPA Paralegal CORE Competency Exam
https://killexams.com/pass4sure/exam-detail/PCCE
Question: 69
The elements or parts of a reported case include, among other things,
______________________________.
A. The caption, the citation, and the opening brief.
B. The discussion, the opinion, and the holding.
C. The holding, the responding brief, and the caption.
D. The caption, the headnotes, and the holding.
Answer: D
The caption, the headnotes, and the holding. The parts of a reported case include
the following: The caption, the date of the decision, parallel citations (if any), the
headnotes, the statement of the facts, the court"s opinion, the holding, the
rationale, dicta, and the disposition of the case. Some opinions also include a
syllabus.
Question: 70
Which of the following possessives is NOT correct?
A. The rule in Shelley"s case.
B. He reviewed the ACP"s resume.
C. He repaired his mother"s-in-law car.
D. None of the above.
Answer: C
He repaired his mother"s-in-law car. Answer C is not correct because mother-in-
law is a singular term and the possessive is formed by adding an apostrophe and
s at the end. Answer A and Answer B are both correct because they are singular
terms and the possessive is correctly formed by adding an apostrophe and an s
at the end. Note that this grammatical rule applies to acronyms.
Question: 71
Which of the following is NOT a factor to be considered in determining whether a
lawyer is competent to handle a particular matter?
A. The length of time the lawyer has been practicing law.
B. The complexity and specialized nature of the matter.
C. The lawyer"s general experience.
D. The lawyer"s training and experience in the underlying subject matter.
Answer: A
The length of time the lawyer has been practicing law. The factors to consider
when determining whether a lawyer is competent to handle a particular matter
include, among other factors: (1) the complexity and specialized nature of the
matter; (2) the lawyer"s general experience; (3) the lawyer"s training and
experience in the underlying subject matter; (4) the preparation and study the
lawyer can devote to the matter; (5) whether it is feasible to associate with another
lawyer who is competent in the area. Model Rule 1.1, comment 1. A lawyer need
not necessarily have special training or prior experience to handle a legal problem
of a type with which the lawyer is unfamiliar. Model Rule 1.1, comment 2.
Answer A is the best choice because length of time as a practicing lawyer is not
considered a factor.
Question: 72
Which of the following sentences does NOT correctly use who or whom?
A. My supervisor knows Gary, with whom he has worked.
B. Samuel is the person to whom you should address your complaint.
C. Both of the above.
D. Neither of the above.
Answer: C
Both of the above. In this question, Answer A is correct because whom is used
in a clause that is subordinate to the main clause (note the comma). By contrast,
Answer B does not use a comma, so the clause is not dependent. If the clause is
restrictive (no comma), the best way to determine if who or whom is correct
is to revise the sentence without who or whom (e.g., You should address
your complaint to Samuel) and then determine if the sentence works with he or
she or works with him or her (e.g., She should address . . .). If he or
she works, then use who; if him or her works, then use whom.
Question: 73
A lawyer represented a client in a case involving a contract dispute. The lawyer
was successful in showing a breach of contract by the defendant and asserted a
claim for attorneys" fees under the contract. The defendant did not dispute that the
plaintiff was entitled to attorneys" fees, but argued that the lawyer overcharged his
client since the work performed was not worth the amount charged. At the hearing
on the motion for attorneys" fees, the defendant"s attorney called the plaintiff"s
lawyer as a witness. Can the lawyer testify in a case in which he is representing a
party?
A. Yes, because the testimony will be limited to the work performed and value of
the work performed.
B. Yes, if the plaintiff waives the conflict of interest.
C. No, because an attorney cannot act as an advocate for a party and a witness in
the same case.
D. No, unless the lawyer withdraws from representing the client.
Answer: A
Yes, because the testimony will be limited to the work performed and value of the
work performed. A lawyer shall not act as an advocate at a trial in which the
lawyer is likely to be a necessary witness unless . . . the testimony relates to the
nature and value of the legal service rendered in the case. Model Rule 3.7.
Answer A is the best choice because it states an exception that allows the attorney
to testify regarding the attorneys" fees. Answer B is not the best choice because an
attorney testifying in the same case in which he or she represents a client is not a
conflict of interest. Answer C is not the best choice because an exception to the
rule covers the situation in this factual scenario. Answer D is not the best choice
because an exception allows the attorney to testify.
Question: 74
Which of the following sentences correctly uses the past tense?
A. The governor will veto the bill.
B. The governor reads all bills passed by the legislature.
C. The state legislature overrode the governor"s veto.
D. The governor had expressed her opposition to the bill and has now vetoed it.
Answer: C
The state legislature overrode the governor"s veto. Verb tense indicates whether
an action or state of being occurred in the past, present, or future. The past tense is
formed by adding d or ed to the end of a verb or by using the past tense form
of an irregular verb. Answer C is the correct choice because overrode is the past
tense form of the irregular verb override. Answer A is not the correct choice
because it is an example of the irregular verb to be in the future tense. Answer
B is not the correct choice because it is an example of the verb to read in the
present tense. Answer D is not the correct choice because it is an example of the
present perfect tense.
Question: 75
Which of the following sentences properly uses a colon?
A. Oliver Wendell Holmes said: The life of the law is not logic; it is experience.
B. Sheldon kept knocking on Penny"s door: Penny, Penny, Penny.
C. George used the buzzer to call Jerry: Jerry let George in the building.
D. None of the above.
Answer: A
Oliver Wendell Holmes said: The life of the law is not logic; it is experience. A
colon is used to introduce a quote, a list, or a rule. Answer A is the correct choice
because it properly uses a colon to introduce a quote. Answer B is not the correct
choice because the language before the colon does not introduce the quotes. To be
proper, it should read: Sheldon kept knocking on Penny"s door and saying:
Penny," Penny," Penny." Answer C is not the correct choice because the colon
should be a semicolon.
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PCCE NFPA outline

PCCE NFPA outline :: Article Creator

the way to use Google entities and GPT-four to create article outlines

listed here, you’ll learn how to make use of some scraping and Google’s skills Graph to do computerized prompt engineering that generates a top level view and abstract for a piece of writing that, if neatly written, will include many key ingredients to rank neatly.

on the root of things, we’re telling GPT-4 to provide a piece of writing outline in line with a key phrase and the right entities they've discovered on a well-rating page of your option. 

The entities are ordered via their salience rating.

“Why salience ranking?” you could ask. 

Google describes salience of their API doctors as:

“The salience ranking for an entity provides advice about the value or centrality of that entity to the entire document textual content. ratings nearer to 0 are much less salient, while rankings closer to 1.0 are enormously salient.”

looks an attractive decent metric to use to influence which entities should exist in a chunk of content you might wish to write, doesn’t it?

Getting began

There are two ways which you could go about this:

  • Spend about 5 minutes (possibly 10 in case you deserve to set up your computer) and run the scripts from your desktop, or…
  • bounce to the Colab I created and start taking part in around appropriate away.
  • I’m keen on the first, but I’ve also jumped to a Colab or two in my day. 😀

    Assuming you’re nevertheless here and want to get this deploy on your personal machine however don’t yet have Python put in or an IDE (built-in construction ambiance), i will direct you first to a quick read on setting your computing device up to make use of Jupyter computer. It shouldn’t take more than about 5 minutes.

    Now, it’s time to get going!

    the use of Google entities and GPT-four to create article outlines

    To make this convenient to comply with along, I’m going to format the directions as follows:

  • Step: a quick description of the step we’re on.
  • Code: The code to finished that step.
  • clarification: a short clarification of what the code is doing.
  • Step 1: tell me what you desire

    before we dive into growing the outlines, we deserve to outline what we need. 

    question = input ("What do you need to rank for :") print(question) url = enter("What URL should I be impressed by using : ") print(url)

    When run, this block will immediate the consumer (doubtless you) to enter the question you’d just like the article to rank for/be about, as well as provide you with a spot to position in the URL of an editorial you’d like your piece to be inspired by means of. 

    I’d suggest an editorial that ranks smartly, is in a format so as to work for your site, and that you just believe is well-deserving of the rankings with the aid of the article’s value on my own and never just the electricity of the web site.

    When run, it will seem like:

    Step 2: installation the mandatory libraries

    next, we must set up all of the libraries we can use to make the magic take place.

    !pip deploy google-cloud-language beautifulsoup4 openai !pip deploy wandb --improve !pip install --force-reinstall -Iv protobuf==three.20.00 import requests import json from bs4 import BeautifulSoup from google.cloud import language_v1 from google.oauth2 import service_account import os import openai import pandas as pd import wandb

    We’re installing the following libraries:

  • Requests: This library allows for making HTTP requests to retrieve content from websites or web APIs.
  • JSON: It gives services to work with JSON records, together with parsing JSON strings into Python objects and serializing Python objects into JSON strings.
  • BeautifulSoup: This library is used for web scraping functions. It helps in parsing and navigating HTML or XML documents and extracting vital assistance from them.
  • Google.cloud.language_v1: it is a library from Google Cloud that provides natural language processing capabilities. It permits for the performing quite a few tasks like sentiment evaluation, entity consciousness, and syntax evaluation on text records.
  • Google.oauth2.service_account: This library is a part of the Google OAuth2 Python kit. It provides assist for authenticating with Google APIs using a carrier account, which is a means to supply restricted entry to the materials of a Google Cloud task.
  • OS: This library provides a method to interact with the operating system. It allows accessing a considerable number of functionalities like file operations, environment variables, and method management.
  • OpenAI: This library is the OpenAI Python package. It gives an interface to have interaction with OpenAI’s language models, including GPT-4 (and three). It allows for developers to generate text, perform text completions, and extra.
  • Pandas: it is a magnificent library for records manipulation and evaluation. It gives facts constructions and services to correctly handle and analyze structured facts, reminiscent of tables or CSV files.
  • WandB: This library stands for “Weights & Biases” and is a device for experiment monitoring and visualization. It helps log and visualize the metrics, hyperparameters, and different important elements of desktop learning experiments.
  • When run, it looks like this:

    Get the day by day newsletter search marketers count on.

    Step three: Authentication

    I’m going to ought to sidetrack us for a second to head off and get our authentication in area. we will want an OpenAI API key and Google expertise Graph Search credentials.

    this could best take a couple of minutes.

    Getting your OpenAI API

    At existing, you doubtless deserve to join the waitlist. i am fortunate to have entry to the API early, and so i am writing this to support you get install as quickly as you get it.

    The signup photographs are from GPT-3 and may be up to date for GPT-four once the circulate is accessible to all.

    before which you can use GPT-four, you will need an API key to access it.

    To get one, with no trouble head over to OpenAI's product web page, and click Get begun.

    opt for your signup method (I chose Google) and run in the course of the verification technique. you'll need access to a cellphone that may receive texts for this step.

    once that's complete, you will create an API key. here is so OpenAI can connect your scripts to your account.

    They ought to be aware of who's doing what and examine if and how much they should still cost you for what you are doing.

    OpenAI pricing

    Upon signing up, you get a $5 credit score a good way to get you fairly a long way if you are simply experimenting.

    As of this writing, the pricing previous that's:

    developing your OpenAI key

    To create your key, click on for your profile in the excellent appropriate and decide View API keys.

    ...and then you will create your key.

    once you shut the lightbox, you can not view your key and will ought to recreate it, so for this challenge, effortlessly replica it to a Notepad doc to make use of shortly.

    notice: do not store your key (a Notepad doc on your computing device isn't extremely secure). when you've used it momentarily, shut the Notepad doc without saving it.

    Getting your Google Cloud authentication

    First, you’ll should log in to your Google account. (you might be on an search engine marketing web site, so I count on you have one. 🙂)

    when you’ve performed that, that you could review the advantage Graph API information in case you think so inclined or leap correct to the API Console and get going.

    once you’re at the console:

    identify it whatever like “Dave’s astonishing Articles.” You recognize… handy to remember.

    next, you’ll permit the API via clicking enable APIs and features.

    locate the potential Graph Search API, and enable it.

    You’ll then be taken lower back to the main API web page, the place that you may create credentials:

    And we’ll be creating a provider account.

    with ease create a carrier account:

    Fill within the required suggestions:

    (You’ll need to provide it a reputation and supply it owner privileges.)

    Now we've our provider account. All that’s left is to create our key. 

    click on the three dots below movements and click control keys.

    click on Add key then Create new key:

    the important thing category may be JSON.

    instantly, you’ll see it down load to your default down load region.

    This key will give entry to your APIs, so maintain it safe, similar to your OpenAI API.

    alright… and we’re returned. able to continue with our script?

    Now that we now have them, we need to define our API key and path to the downloaded file. The code to do that is:

    os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/course-TO-FILE/FILENAME.JSON' %env OPENAI_API_KEY=YOUR_OPENAI_API_KEY openai.api_key = os.environ.get("OPENAI_API_KEY")

    you are going to change YOUR_OPENAI_API_KEY along with your personal key.

    you are going to also substitute /course-TO-FILE/FILENAME.JSON with the course to the service account key you simply downloaded, together with the file identify.

    Run the mobile and you’re able to stream on.

    Step 4: Create the services

    next, we’ll create the features to:

  • Scrape the webpage we entered above.
  • Analyze the content material and extract the entities.
  • Generate an editorial the usage of GPT-4.
  • #The feature to scrape the net web page def scrape_url(url): response = requests.get(url) soup = BeautifulSoup(response.content material, "html.parser") paragraphs = soup.find_all("p") text = " ".be a part of([p.get_text() for p in paragraphs]) return text #The characteristic to tug and analyze the entities on the page the use of Google's capabilities Graph API def analyze_content(content material): customer = language_v1.LanguageServiceClient() response = customer.analyze_entities( request="document": language_v1.document(content=content material, type_=language_v1.doc.class.PLAIN_TEXT), "encoding_type": language_v1.EncodingType.UTF8 ) top_entities = sorted(response.entities, key=lambda x: x.salience, reverse=actual)[:10] for entity in top_entities: print(entity.name) return top_entities #The characteristic to generate the content def generate_article(content material): openai.api_key = os.environ["OPENAI_API_KEY"] response = openai.ChatCompletion.create( messages = ["role": "system", "content": "You are a highly skilled writer, and you want to produce articles that will appeal to users and rank well.", "role": "user", "content": content], mannequin="gpt-four", max_tokens=1500, #The maximum with GPT-3 is 4096 including the prompt n=1, #how many results to produce per instantaneous #best_of=1 #When n>1 completions can also be run server-aspect and the "ideal" used cease=None, temperature=0.eight #a number between 0 and a pair of, where higher numbers add randomness ) return response.decisions[0].message.content.strip()

    this is fairly tons exactly what the feedback describe. We’re creating three capabilities for the purposes outlined above.

    eager eyes will observe:

    messages = ["function": "equipment", "content": "you're a totally expert creator, and also you are looking to produce articles a good way to enchantment to users and rank neatly.",

    that you can edit the content (you are a extremely knowledgeable writer, and you need to produce articles that will appeal to users and rank smartly.) and describe the position you desire ChatGPT to take. that you could additionally add tone (e.g., “you are a pleasant author …”).

    Step 5: Scrape the URL and print the entities

    Now we’re getting our fingers soiled. It’s time to:

  • Scrape the URL we entered above.
  • Pull all the content material that lives inside paragraph tags.
  • Run it via Google potential Graph API.
  • Output the entities for a quick preview. 
  • in reality, you are looking to see anything else at this stage. if you see nothing, investigate a special web page.

    content material = scrape_url(url) entities = analyze_content(content material)

    you can see that line one calls the feature that scrapes the URL we first entered. The 2d line analyzes the content material to extract the entities and key metrics. 

    part of the analyze_content feature also prints an inventory of the entities found for brief reference and verification.

    Step 6: Analyze the entities

    after I first began taking part in round with the script, I all started with 20 entities and instantly found that’s always too many. however is the default (10) correct?

    To find out, we’ll write the information to W&B Tables for easy evaluation. It’ll keep the facts indefinitely for future evaluation. 

    First, you will should take about 30 seconds to sign in. (don't fret, it’s free for this classification of element!) you could accomplish that at https://wandb.ai/web page.

    once you’ve carried out that, the code to do that is:

    run = wandb.init(undertaking="Article abstract With Entities") columns=["name", "Salience"] ent_table = wandb.desk(columns=columns) for entity in entities: ent_table.add_data(entity.name, entity.salience) run.log("Entity table": ent_table) wandb.conclude()

    When run, the output seems like this:

    And for those who click on the hyperlink to view your run, you’ll discover:

    which you could see a drop in salience rating. remember that this score calculates how critical that term is to the page, no longer the query.

    When reviewing this statistics, which you could choose to alter the number of entities in keeping with salience, or just if you see beside the point phrases pop up.

    To alter the variety of entities, you’d head to the functions phone and edit:

    You’ll then deserve to run the cellphone once again and the one you ran to scrape and analyze the content material to use the brand new entity count number.

    Step 7: Generate the article define

    The second you have got all been waiting for, it’s time to generate the article outline.

    this is carried out in two elements. First, we need to generate the immediate by way of adding the mobilephone:

    entity_names = [entity.name for entity in entities] gpt_prompt = f"Create an outline for an editorial about question that contains here entities: ', '.be a part of(entity_names)." print(gpt_prompt)

    This basically creates a instantaneous to generate a piece of writing:

    after which, all that’s left is to generate the article outline using the following:

    generated_article = generate_article(gpt_prompt) print(generated_article)

    so that they can produce some thing like:

    And if you’d also want to get a summary written up, that you could add:

    gpt_prompt2 = f"Write a piece of writing abstract about query for a piece of writing with an outline of: generated_article." generated_article = generate_article(gpt_prompt2) print(generated_article)

    so that they can produce some thing like:

    Opinions expressed in this article are these of the visitor creator and not always Search Engine Land. team of workers authors are listed right here.


    References


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