CompTIA DataX DY0-001 Dumps in PDF

Free CompTIA DY0-001 Real Questions (page: 8)

Which of the following is a key difference between KNN and k-means machine-learning techniques?

  1. KNN operates exclusively on continuous data, while k-means can work with both continuous and categorical data.
  2. KNN performs better with longitudinal data sets, while k-means performs better with survey data sets.
  3. KNN is used for finding centroids, while k-means is used for finding nearest neighbors.
  4. KNN is used for classification, while k-means is used for clustering.

Answer(s): D

Explanation:

KNN is a supervised algorithm that assigns labels based on the closest labeled examples, whereas k- means is an unsupervised method that partitions data into clusters by finding centroids without using any pre-existing labels.



A data scientist needs to:

Build a predictive model that gives the likelihood that a car will get a flat tire.

Provide a data set of cars that had flat tires and cars that did not.

All the cars in the data set had sensors taking weekly measurements of tire pressure similar to the sensors that will be installed in the cars consumers drive.
Which of the following is the most immediate data concern?

  1. Granularity misalignment
  2. Multivariate outliers
  3. Insufficient domain expertise
  4. Lagged observations

Answer(s): D

Explanation:

Because tire-pressure sensors report only weekly measurements, you risk missing the critical pressure drop immediately preceding a flat. Those stale ("lagged") readings may not reflect the condition just before failure, undermining your model's ability to learn the true precursors to a flat tire.



The term "greedy algorithms" refers to machine-learning algorithms that:

  1. update priors as more data is seen.
  2. examine even/ node of a tree before making a decision.
  3. apply a theoretical model to the distribution of the data.
  4. make the locally optimal decision.

Answer(s): D

Explanation:

Greedy algorithms build the solution iteratively by choosing at each step the option that appears best at that moment, without reconsidering earlier choices.



A data scientist is deploying a model that needs to be accessed by multiple departments with minimal development effort by the departments.
Which of the following APIs would be best for the data scientist to use?

  1. SOAP
  2. RPC
  3. JSON
  4. REST

Answer(s): D

Explanation:

RESTful APIs use standard HTTP methods and lightweight data formats (typically JSON), making them easy for diverse teams to integrate with minimal effort and without heavy tooling.



Which of the following compute delivery models allows packaging of only critical dependencies while developing a reusable asset?

  1. Thin clients
  2. Containers
  3. Virtual machines
  4. Edge devices

Answer(s): B

Explanation:

Containers encapsulate just the application and its critical dependencies on a lightweight runtime, making the resulting asset portable and reusable without bundling an entire operating system.



A data analyst is analyzing data and would like to build conceptual associations.
Which of the following is the best way to accomplish this task?

  1. n-grams
  2. NER
  3. TF-IDF
  4. POS

Answer(s): A

Explanation:

n-grams capture contiguous sequences of words, revealing which terms co-occur and form meaningful multi-word concepts. By analyzing these frequent word combinations, you directly uncover conceptual associations in the text.



Which of the following belong in a presentation to the senior management team and/or C-suite executives? (Choose two.)

  1. Full literature reviews
  2. Code snippets
  3. Final recommendations
  4. High-level results
  5. Detailed explanations of statistical tests
  6. Security keys and login information

Answer(s): C

Explanation:

Senior leaders need actionable insights and the overarching outcomes, not the implementation details, so you present your key recommendations alongside a summary of results at a high level.



During EDA, a data scientist wants to look for patterns, such as linearity, in the dat

  1. Which of the following plots should the data scientist use?
  2. Violin
  3. Box-and-whisker
  4. Scatter
  5. Q-Q

Answer(s): C

Explanation:

Scatter plots display pairs of numeric values on two axes, letting you visually assess relationships and patterns, such as linear trends, between variables.



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AI Tutor Explanation
4/21/2026 8:48:36 AM

Question 3:

  • False is the correct answer (Option B).

Why:
  • In Snowflake, a database is a metadata object that exists within a single Snowflake account. Accounts are isolated—there isn’t one database that lives in multiple accounts.
  • You can access data across accounts via data sharing or database replication, but these create separate database objects in the other accounts (e.g., a database in the consumer account created from a share), not a single shared database across accounts.

So a single database cannot exist in more than one Snowflake account.

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Anonymous User
4/16/2026 10:54:18 AM

Question 1:

  • Correct answer: Edate = sys.argv[1]
  • Why this is correct:
- When a Databricks Job passes parameters to a notebook, those parameters are supplied to the notebook's Python process as command-line arguments. The first argument after the script name is sys.argv[1], so date = sys.argv[1] captures the passed date value directly.
  • How it compares to other options:
- date = spark.conf.get("date") reads from Spark config, not from job parameters. - input() waits for user input at runtime, which isn’t how job parameters are provided. - date = dbutils.notebooks.getParam("date") would work if the notebook were invoked via dbutils.notebook.run with parameters, not

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Anonymous User
4/15/2026 4:42:07 AM

Question 528:

  • Correct answer: NSG flow logs for NSG1 (Option B)

  • Why:
- Traffic Analytics uses NSG flow logs to analyze traffic patterns. You must have NSG flow logs enabled for the NSGs you want to monitor. - An Azure Log Analytics workspace is also required to store and query the traffic data. - Network Watcher must be available in the subscription for traffic analytics to function.
  • What to configure (brief steps):
- Ensure Network Watcher is enabled in the East US region (for the subscription/region). - Enable NSG flow logs on NSG1. - Ensure a Log Analytics workspace exists and is accessible (read/write) so Traffic Analytics can store and query logs.
  • Why other options aren’t correct:
- “Diagnostic settings for VM1” or “Diagnostic settings for NSG1” alone don’t guarantee flow logs are captured and sent to Log Analytics, which Traffic Analytics relies on. - “Insights for VM1” is not how Traffic Analytics collects traffic data.

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Anonymous User
4/15/2026 2:43:53 AM

Question 23:
The correct answer is Domain admin (option B), not Fabric admin.

  • Domain admin provides domain-level management: create domains/subdomains and assign workspaces within those domains, which matches the tasks while following least privilege.
  • Fabric admin is global-level access and is more privileges than needed for this scenario (it would grant broader control across the Fabric environment).

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Anonymous User
4/14/2026 12:31:34 PM

Question 2:
For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP.
From the options:

  • A) 10.10.10.0/28 ? 10.10.10.0–10.10.10.15
  • B) 10.10.13.0/25 ? 10.10.13.0–10.10.13.127
  • C) 10.10.13.144/28 ? 10.10.13.144–10.10.13.159
  • D) 10.10.13.208/29 ? 10.10.13.208–10.10.13.215

The destination Host A’s IP must fall within 10.10.13.208–10.10.13.215 for the /29 to be the best match. Since /29 is the longest prefix among the matching options, Router1 will use 10.10.13.208/29.
Thus, the correct answer is D.

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srameh
4/14/2026 10:09:29 AM

Question 3:

  • Correct answer: Phase 4, Post Accreditation

  • Explanation:
- In DITSCAP, the four phases are: - Phase 1: Definition (concept and requirements) - Phase 2: Verification (design and testing) - Phase 3: Validation (fielding and evaluation) - Phase 4: Post Accreditation (ongoing operations and lifecycle management) - The description—continuing operation of an accredited IT system and addressing changing threats throughout its life cycle—fits the Post Accreditation phase, which covers operations, maintenance, monitoring, and reauthorization as threats and environment evolve.

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onibokun10
4/13/2026 7:50:14 PM

Question 129:
Correct answer: CNAME

  • A CNAME record creates an alias for a domain, so newapplication.comptia.org will resolve to whatever IP address www.comptia.org resolves to. This ensures both names point to the same resource without duplicating the IP.
  • Why not the others:
- SOA defines authoritative information for a zone. - MX specifies mail exchange servers. - NS designates name servers for a zone.
  • Notes: The alias name (newapplication.comptia.org) should not have other records if you use a CNAME for it, and CNAMEs aren’t used for the zone apex (root) domain. This scenario uses a subdomain, so a CNAME is appropriate.

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Anonymous User
4/13/2026 6:29:58 PM

Question 1:

  • Correct answer: C

  • Why this is best:
- Uses OS Login with IAM, so SSH access is granted via Google accounts rather than distributing per-user SSH keys. - Granting the compute.osAdminLogin role to a Google group gives admin access to all team members in a centralized, auditable way. - Access is auditable: Cloud Audit Logs show who accessed which VM, satisfying the security requirement to determine who accessed a given instance.
  • How it works:
- Enable OS Login on the project/instances (enable-oslogin metadata). - Add the team’s

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Anonymous User
4/13/2026 1:00:51 PM

Question 2:

  • Answer: D. Azure Advisor

  • Why: To view security-related recommendations for resources in the Compute and Apps area (including App Service Web Apps and Functions), you use Azure Advisor. Advisor surfaces personalized best-practice recommendations across resources, including security, and shows which resources are affected and the severity.

  • Why not the others:
- Azure Log Analytics is for ad-hoc querying of telemetry, not for viewing security recommendations. - Azure Event Hubs is for streaming telemetry data, not for security recommendations.
  • Quick tip: In the portal, navigate to Azure Advisor and check the Security recommendations for App Services to see actionable items and affe

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4/8/2026 6:37:56 AM

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4/6/2026 5:22:54 PM

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LRK
3/22/2026 2:38:08 PM

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3/6/2026 5:26:16 AM

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1/20/2026 8:25:24 AM

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12/24/2025 10:39:07 AM

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12/17/2025 8:24:45 AM

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12/16/2025 9:57:10 AM

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11/29/2025 2:19:59 AM

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11/12/2025 12:16:21 PM

Question 1, Ans is - Developer,Standard,Professional Direct and Premier

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10/31/2025 4:06:16 PM

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9/25/2025 9:11:14 AM

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9/21/2025 7:07:26 AM

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9/15/2025 11:21:52 PM

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9/2/2025 7:42:00 PM

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8/22/2025 4:16:51 AM

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7/31/2025 11:44:40 PM

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OLERATO
7/1/2025 5:44:14 AM

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6/9/2025 7:37:29 AM

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5/24/2025 12:54:15 AM

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