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Exam Number : DCPDS
Exam Name : Databricks Certified Professional Data Scientist
Vendor Name : Databrick
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DCPDS exam Format | DCPDS Course Contents | DCPDS Course Outline | DCPDS exam Syllabus | DCPDS exam Objectives


Exam Detail:
The DCPDS (Databricks Certified Professional Data Scientist) exam is a certification exam that validates the knowledge and skills of individuals in data science using Databricks. Here are the exam details for the DCPDS certification:

- Number of Questions: The exam typically consists of multiple-choice questions and hands-on exercises. The exact number of questions may vary, but typically, the exam includes around 60 to 80 questions.

- Time Limit: The time allocated to complete the exam is 2 hours (120 minutes).

Course Outline:
The DCPDS certification course covers various Topics related to data science using Databricks. The course outline typically includes the following topics:

1. Introduction to Databricks:
- Understanding the basics of Databricks and its role in data science.
- Navigating the Databricks workspace and user interface.

2. Data Exploration and Preparation:
- Exploring and understanding data using Databricks.
- Performing data preprocessing tasks such as data cleaning, transformation, and feature engineering.

3. Machine Learning with Databricks:
- Applying machine learning algorithms and techniques using Databricks.
- Building and training machine learning models.
- Evaluating and tuning model performance.

4. Advanced Analytics and Visualization:
- Using Databricks for advanced analytics tasks such as clustering, time series analysis, and text analysis.
- Visualizing data and model results using Databricks' visualization tools.

5. Model Deployment and Monitoring:
- Deploying machine learning models in production using Databricks.
- Monitoring and evaluating model performance and making necessary adjustments.

6. Collaborative Workflows:
- Working collaboratively with other data scientists and stakeholders in Databricks.
- Sharing and presenting insights and results using Databricks' collaboration features.

Exam Objectives:
The objectives of the DCPDS exam are as follows:

- Assessing candidates' understanding of Databricks and its role in data science.
- Evaluating candidates' knowledge and proficiency in data exploration and preparation using Databricks.
- Testing candidates' skills in applying machine learning algorithms and techniques using Databricks.
- Assessing candidates' ability to perform advanced analytics tasks and visualize data in Databricks.
- Evaluating candidates' competence in deploying and monitoring machine learning models in Databricks.
- Testing candidates' understanding of collaborative workflows and effective communication in Databricks.

Exam Syllabus:
The specific exam syllabus for the DCPDS certification covers the following areas:

1. Databricks Basics: Understanding the Databricks workspace, user interface, and collaborative features.

2. Data Exploration and Preparation: Performing data exploration, cleaning, and transformation using Databricks.

3. Machine Learning with Databricks: Applying machine learning algorithms and techniques in Databricks.

4. Advanced Analytics and Visualization: Performing advanced analytics tasks and visualizing data in Databricks.

5. Model Deployment and Monitoring: Deploying and monitoring machine learning models in Databricks.

6. Collaborative Workflows: Working collaboratively and effectively communicating with stakeholders in Databricks.



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Databrick Databricks exam format

 

Databricks Accelerates Vertical Industry Push With New Financial Services Offering

Systems integrator partners, including Deloitte and Avanade, are playing a key role in Databricks’ vertical sector offensive by providing use-case solutions, implementation services and industry expertise for financial services, banking and insurance companies.

ARTICLE TITLE HERE

Data analytics technology developer Databricks is accelerating its push to deliver its data lakehouse platform for vertical industry applications, launching the Databricks Lakehouse for Financial Services and working with system integration partners to develop industry-specific solutions and services.

The new offering comes a little more than a month after the company launched Databricks Lakehouse for Retail, aimed at retailers and consumer goods manufacturers, with editions for the healthcare and media sectors under development.

“This is how they go to market now. This a huge focus for the company and how it is going to deliver for their customers going forward. It’s going to become increasingly vertical and sector-focused,” said Junta Nakai, global head of financial services and sustainability GTM at Databricks, in an interview with CRN.

[Related: 10 Hot Big Data Companies Y10 Hot Big Data Companies You Should Watch In 2022ou Should Watch In 2022 ]

Databricks offers its Databricks Lakehouse Platform for a range of data, analytics and AI tasks and promotes the data lakehouse concept as an alternative to traditional data warehouse systems. The platform incorporates the Delta Lake open-source data management and storage technology developed by Databricks’ founders.

The new financial services edition of Databricks Lakehouse targets customers in banking, insurance and capital market sectors. It adds industry-specific technical content to the platform including solution accelerators – software code for financial service use cases such as fraud detection and sustainability – and connectors to data sets and third-party data providers commonly used by the industry, Nakai said.

Databricks Lakehouse for Financial Services supports real-time analytics, business intelligence and AI tasks on all data types within multi-cloud environments, according to Databricks. The company expects customers to use the platform for a range of applications including compliance and regulatory reporting, risk management, fraud detection and open banking.

“Financial services is one of their fastest growing verticals,” Nakai said, adding that Databricks has more than 600 customers in the industry.

Despite the huge investments financial services companies make in IT most are actually behind other verticals in such areas as data analytics and AI because the industry is highly regulated and operates complex IT systems that are slowed down by legacy technology, Nakai said.

“The Lakehouse for Financial Services will help them come up that curve and really leverage the power of this platform more quickly,” he said. “All this is about driving consumption and making it easier for their customers in financial services to adopt a lakehouse platform.”

The channel plays a significant role in Databricks’ vertical industry offensive, including the focus on financial services. The company announced that it is working with systems integrators, including Deloitte and Avanade, that have a presence and deep expertise in the industry.

“They have experience implementing data lakehouses in very governed environments, in a highly regulated industry,” Nakai said of Deloitte, Avanade and other systems integrators. Databricks is also launching go-to-market initiatives with the partners.

Systems integrators are also playing a role with Databricks in jointing developing the solution accelerator software that runs on the Lakehouse for Financial Services platform.

Avanade Risk Management, for example, rapidly deploys data into value-at-risk models to help financial service companies reduce regulatory and operational compliance risks. Deloitte FinServ Governed Data Platform helps financial service companies met regulatory requirements by creating a “single source of truth” of data for data analytics, AI/ML tasks, robotic process automation and natural language processing.

Other available industry data model frameworks, partner solutions and use cases available for the Databricks platform cover post-trade analysis and market surveillance, transaction enrichment, regulatory reporting, and fraud detection and prevention with predictive analytics, Databricks said.

As part of the push into the financial services arena, Databricks is also working with ISVs and data service providers such as FactSet and TickSmith, in some cases utilizing Databrick’s Delta Sharing open-source data sharing protocol, unveiled in June 2021, that’s part of the broader Delta Lake project. Nakai said the focus there is to help customers with efforts to “monetize their data assets.”

(Databricks Ventures, the company’s venture investment arm, has made an investment in TickSmith, Databricks said.)

And Databricks is working with industry consortiums such as FINOS (the FinTech Open Source Foundation) and with exchanges like NASDAQ to integrate Delta Lake with their initiatives.

Databricks recently hired Michael Hartman, previously executive vice president of North American financial services at Salesforce, as the company’s new senior vice president of regulated industries, overseeing such verticals as financial services, healthcare and the public sector.

Fast-growing Databricks has raised $3.5 billion in funding, including $1.6 billion in a funding round in August 2021 that put the San Francisco-based company’s valuation at $36.4 billion. Some anticipate an IPO from the company in 2022.


Document Exam

Purpose

To determine authenticity and authorship.

Method

The specifics of an investigation will depend on the nature of the document being studied (e.g., historical or personal) and the goals of the inquiry. Generally speaking, a document will be examined from three different aspects: historical, scientific, and stylistic.

Video:Authentication

Tips on how to authenticate a document by comparing handwriting.

Historical Analysis

It is virtually impossible to pinpoint the age of an undated document, but there may be clues to the era. If it is a printed piece - say a greeting card - the method of printing, address, and even the stamp may be important.

At the very least, materials and techniques must be consistent with place and time. Many forgeries are identified by the presence of materials that didn’t exist at the time alleged.

Scientific Analysis

A detailed paper analysis will detect every shred of physical evidence concealed in a document.

Stylistic Analysis

Comparisons of style are essential for authentication. Penmanship, cultural phrasing, and form of address can help to identify both the era and author. Handwriting comparisons can authenticate a signature or manuscript.

In some cases, all of it taken together can’t solve a historical puzzle. For example, there are five known manuscript copies of the Gettysburg Address. Testing has proved that all are authentic Lincoln documents. But it will never prove, definitively, which of the five Lincoln actually read from at Gettysburg.


Office of the Registrar

General Final exam Information⁠

GeneralFinal exams will be generated by the Registrar’s Office according to an exam matrix on or about the last day of the add/drop period for the term for any course that has 'Yes' indicated for a Final exam in the catalog. The day and time of the first class meeting during the week determine the date and time for each exam. Courses that meet outside the normal university block scheduling will be scheduled within the time block that best fits the schedule without creating conflicts for students.

Exam times are as follows:

  • 8 – 11 a.m.
  • 11:30 a.m. – 2:30 p.m.
  • 3 – 6 p.m.
  • 6:30 - 9:30 p.m.
  • While exam blocks are three hours long, the genuine length of the exam is determined by the instructor.

    If examination days are postponed because of weather conditions, the first make-up day is documented on the academic calendar.

    Faculty should review their exam schedule just after the last day of add/drop. If an exam was not generated or changes are needed, please email: scheduling@uml.edu. Requests for final exams, combined exams, etc. will not be accepted after the mid-semester evaluation date for the term in question. Please refer to the academic calendar for specific date information.

    Common Exams
  • Faculty should plan to administer a separate exam for each section of a course that they are teaching.
  • Requests for common exams must be approved by the Dean AND the course must have, at minimum, three (3) class sections to be considered for common exam scheduling. 
  • Requests should be submitted by email to: scheduling@uml.edu no later than the mid-semester evaluation date for said term, and all requests are subject to classroom availability.
  • Common Finals will need to be applied to all sections of a course not to individual instructors.
  • Common exam Finals will be assigned to a common exam block. 
  • Students who are scheduled for two common exams at the same time should check with their instructors to see which exam has priority.
  • Note: Requests for combined exams will not be accepted after the mid-semester evaluation date for the term in question. Please refer to the academic calendar for specific date information.

    Exam Conflicts

    If a student has three (or more) finals scheduled on the same exam day, the student has the right to ask that a make up exam (or exams) be scheduled to reduce the number of exams in each day to two. Under these circumstances, required courses1 take priority, so the student should make every effort to arrange the make-up exam for a non-required course with the respective instructor. Likewise, if a student has two finals scheduled in the same exam period, the required course takes priority; the student should schedule a make-up exam for the non-required conflicting course with the respective instructor. If for any reason a mutually agreeable solution between the student and the instructor cannot be achieved, the student should see his or her college dean immediately.

    Students – If you have questions regarding any of your final exams, please contact your instructor directly. Instructors should reach out by email to: scheduling@uml.edu if an exam update is needed in SiS.

    1'Required courses' refers to whichever course is required toward that specific student’s degree pathway.

    Final Exams for Hybrid and Virtual Class Sections

    Exams (including final exams) for fully virtual classes should be administered virtually, as that is the modality which students selected. Exceptions to hold on-campus exams require deans' approval. An email (noting the approval) should be sent by email to: scheduling@uml.edu so that the exam location may be updated – exceptions are subject to room availability. If approved, faculty must indicate the alternate exam format in their course syllabus and accommodate students who are unable to attend in-person exams.

    If a class section is hybrid (includes both an in-person meeting and either an online or virtual meeting pattern), then the final exam will be assigned as in-person, but the instructor may request the final exam to be virtual/online depending on the modes of instruction of the hybrid section. Hybrid courses also include courses that have more than one component with different modes of instruction (i.e., the lecture portion is virtual, but the recitation is in-person) and the instructor may decide whether or not the final exam is in-person in this scenario as well. Any requests for final exam updates should be sent by email to: scheduling@uml.edu.

    Undergraduate and Graduate Final Exams (Day-school Sections)⁠
  • Faculty are not required to administer cumulative final examinations and should assess their students as appropriate to their discipline and course content. If an exam is assigned and will not be taking place, please email: scheduling@uml.edu.
  • Faculty who opts to administer final examinations must do so at the time and place specified by the Registrar's Office and listed in SiS. All day-school sections that are noted in the catalog with 'Yes' for final exam, will have a final exam block generated.
  • Final take-home examinations or final papers must not be due earlier than the time that the Registrar's Office has scheduled the final examination for the course in question (although instructors may opt to allow such examinations or papers to be submitted early).
  • Note: If an academic program requires that students take final examinations for accreditation purposes, faculty are expected to adhere to the requirements of their accrediting organization.
  • Graduate class sections may opt to administer their final exams on the last day of regular class meetings (week prior to the final exam period) but should contact scheduling if this is what they decide and need to remove a final exam block that was generated for their class section.
  • For any course with a final exam during the exam period, no hour-examination (or major paper or project) shall be administered or due during the last five academic days of the semester unless the college dean has allowed an exemption.
  • Graduate, Online and Professional Studies Final Exams (GPS Sections)⁠

    Graduate, Online and Professional Studies sections (section number typically begins with '0') take place on the final on-campus meeting day for that section (usually the week prior to the final exam period) – please see the on-campus course dates on Graduate, Online and Professional Studies website for the final meeting date (not to be confused with the course session dates).

    If a GPS section is 'matched' (combined) with a day-school section (example ACCT 2010 201 and ACCT 2010 001), the final exam will follow day-school guidelines and an exam block will be assigned for both sections in SIS.

    Classroom Reservations During the Final exam Period⁠

    Classroom reservations for ad hoc needs during the final exam period (review sessions, exam accommodations, makeup exams, etc.) will be accepted one week prior to the final exam period. Please email scheduling for these requests.

    Makeup Exams⁠

    Individual makeup exams should be coordinated between the student and instructor as needed and should take place through the UMass Lowell Testing Centers or in a department location (please do not use academic classrooms for individual makeup exams without a confirmed reservation).

    If an entire class needs to makeup an exam due to an unforeseen circumstance or emergency, the exam should be rescheduled by emailing: scheduling@uml.edu. Makeup exams for classes should take place during the regular examination period. 

    The university final exam makeup dates listed on the university calendar are only to be used for inclement weather or other unanticipated university closure and should not be used as final exam dates for individual student or class makeup exams.

    Disability Services Support & Resources⁠

    Students who are registered with the Disability Services Office and have been approved for an extended time accommodation: if you have two exams scheduled on the same day, you may reschedule one of the exams if it has been confirmed that both exams are scheduled to use the entire 3-hour block. Please refer to the instructions under exam Conflicts listed above to do so. For any other accommodation or disability-related question or concern, please contact by email: disability@uml.edu or visit Disability Services website for faculty and student resources.


     


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