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Microsoft Data Engineering on Azure (Replaced with DP-700) DP-203 Dumps in PDF

Free Microsoft DP-203 Real Questions (page: 69)

DP-203 PDF — 397 Questions

You are designing an Azure Data Lake Storage solution that will transform raw JSON files for use in an analytical workload.

You need to recommend a format for the transformed files. The solution must meet the following requirements:

-Contain information about the data types of each column in the files.
-Support querying a subset of columns in the files.
-Support read-heavy analytical workloads.
-Minimize the file size.

What should you recommend?

  1. JSON
  2. CSV
  3. Apache Avro
  4. Apache Parquet

Answer(s): D

Explanation:

Parquet, an open-source file format for Hadoop, stores nested data structures in a flat columnar format.

Compared to a traditional approach where data is stored in a row-oriented approach, Parquet file format is more efficient in terms of storage and performance.

It is especially good for queries that read particular columns from a “wide” (with many columns) table since only needed columns are read, and IO is minimized.

Incorrect:
Not C:
The Avro format is the ideal candidate for storing data in a data lake landing zone because:

1. Data from the landing zone is usually read as a whole for further processing by downstream systems (the row-based format is more efficient in this case).

2. Downstream systems can easily retrieve table schemas from Avro files (there is no need to store the schemas separately in an external meta store).

3. Any source schema change is easily handled (schema evolution).


Reference:

https://www.clairvoyant.ai/blog/big-data-file-formats



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 have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.

You need to prepare the files to ensure that the data copies quickly.

Solution: You modify the files to ensure that each row is less than 1 MB.
Does this meet the goal?

  1. Yes
  2. No

Answer(s): A

Explanation:

Polybase loads rows that are smaller than 1 MB.

Note on Polybase Load: PolyBase is a technology that accesses external data stored in Azure Blob storage or Azure Data Lake Store via the T-SQL language.

Extract, Load, and Transform (ELT)
Extract, Load, and Transform (ELT) is a process by which data is extracted from a source system, loaded into a data warehouse, and then transformed.

The basic steps for implementing a PolyBase ELT for dedicated SQL pool are:

-Extract the source data into text files.
-Land the data into Azure Blob storage or Azure Data Lake Store.
-Prepare the data for loading.
-Load the data into dedicated SQL pool staging tables using PolyBase.
-Transform the data.
-Insert the data into production tables.


Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-service-capacity-limits
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/load-data-overview



You plan to create a dimension table in Azure Synapse Analytics that will be less than 1 GB.
You need to create the table to meet the following requirements:

-Provide the fastest query time.
-Minimize data movement during queries.

Which type of table should you use?

  1. replicated
  2. hash distributed
  3. heap
  4. round-robin

Answer(s): A

Explanation:

A replicated table has a full copy of the table accessible on each Compute node. Replicating a table removes the need to transfer data among Compute nodes before a join or aggregation. Since the table has multiple copies, replicated tables work best when the table size is less than 2 GB compressed. 2 GB is not a hard limit.


Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/design-guidance-for-replicated-tables



You are designing a dimension table in an Azure Synapse Analytics dedicated SQL pool.

You need to create a surrogate key for the table. The solution must provide the fastest query performance.

What should you use for the surrogate key?

  1. a GUID column
  2. a sequence object
  3. an IDENTITY column

Answer(s): C

Explanation:

Use IDENTITY to create surrogate keys using dedicated SQL pool in AzureSynapse Analytics.

Note: A surrogate key on a table is a column with a unique identifier for each row. The key is not generated from the table data. Data modelers like to create surrogate keys on their tables when they design data warehouse models. You can use the IDENTITY property to achieve this goal simply and effectively without affecting load performance.


Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-identity



HOTSPOT (Drag and Drop is not supported)
You have an Azure Data Lake Storage Gen2 account that contains a container named container1. You have an Azure Synapse Analytics serverless SQL pool that contains a native external table named dbo.Table1. The source data for dbo.Table1 is stored in container1. The folder structure of container1 is shown in the following exhibit.


The external data source is defined by using the following statement.


For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Yes
In the serverless SQL pool you can also use recursive wildcards /logs/** to reference Parquet or CSV files in any sub-folder beneath the referenced folder.

Box 2: Yes
Box 3: No


Reference:

https://learn.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables



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A
AI Tutor Explanation
4/25/2026 1:53:46 PM

Question 7:

  • Correct answer: B — A risk score is computed based on the number of remediations needed compared to the industry peer average.

Explanation:
  • Risk360 uses a remediation-based score. It benchmarks how many actions are required to fix issues against peers, giving a relative risk posture.
  • Why not the others:
- A: Not just total risk events by location. - C: Time to mitigate isn’t the primary scoring method. - D: Not a four-stage breach scoring approach.
Note: The page text shows a mismatch (it lists D as the answer), but the study guide describes the remediation-based scoring (B) as the correct concept.

New Delhi, India
A
AI Tutor Explanation
4/25/2026 1:42:20 PM

Question 104:

  • Correct answer: D) Multi-Terabyte (TB) Range

  • Brief explanation:
- clustering keys organize data into micro-partitions to improve pruning when queries filter on those columns. - The performance benefit is most significant for very large tables; for small tables the overhead of maintaining clustering outweighs gains. - Therefore, as a best practice, define clustering keys on tables at the TB scale.

Thane, India
C
Community Helper
4/25/2026 2:03:10 AM

Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})

New Delhi, India
A
AI Tutor Explanation
4/23/2026 3:07:03 PM

Question 62:

  • Correct answer: D (per the page)

  • Note: The explanation text on the page describes option B (use ZDX score and Analyze Score to trigger the Y Engine analysis), indicating a mismatch between the stated answer and the rationale.

  • Key concept: For fast root-cause analysis, leverage telemetry and auto-correlated insights:
- Use the user’s ZDX score for AWS and run Analyze Score to activate the Y Engine, which correlates metrics across network, client, and application to pinpoint the issue quickly.
  • Why the other options are less effective:
- A: Only checks for outages; doesn’t provide actionable root-cause analysis. - C: Deep Trace helps visibility but is manual and time-consuming. - D: Packet capture is invasive and slow; not the quickest path to root cause.

Coimbatore, India
A
AI Tutor Explanation
4/23/2026 12:26:21 PM

Question 32:

  • Answer: A (2.4GHz)

  • Why: Lower-frequency signals have longer wavelengths and experience less attenuation when passing through walls and obstacles. Higher frequencies (5GHz, 6GHz) are more easily blocked by walls. NFC operates over very short distances and is not meant to penetrate walls. So 2.4 GHz best penetrates physical objects like walls.

Allen, United States
A
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.

Thane, India
A
Anonymous User
4/16/2026 10:54:18 AM

Question 1:

  • Correct answer: E — date = 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

Innisfil, Canada
A
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.

Hamburg, Germany
A
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).

Kottayam, India
A
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.

Canada
S
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.

France
O
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.

Swindon, United Kingdom
A
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

Germany
A
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

    Brazil
D
Don
4/11/2026 5:36:42 AM

Recommend using AI for Solutions rather the Answer(s) submitted here

Hamburg, Germany
M
Mogae Malapela
4/8/2026 6:37:56 AM

This is very interesting

Gaborone, Botswana
A
Anon
4/6/2026 5:22:54 PM

Are these the same questions you have to pay for in ExamTopics?

Amsterdam, The Netherlands
L
LRK
3/22/2026 2:38:08 PM

For Question 7 - while the answer description indicates the correct answer, the option no. mentioned is incorrect. Nice and Comprehensive. Thankyou

Paris, France
R
Rian
3/19/2026 9:12:10 AM

This is very good and accurate. Explanation is very helpful even thou some are not 100% right but good enough to pass.

United States
G
Gerrard
3/18/2026 6:58:37 AM

The DP-900 exam can be tricky if you aren't familiar with Microsoft’s specific cloud terminology. I used the practice questions from free-braindumps.com and found them incredibly helpful. The site breaks down core data concepts and Azure services in a way that actually mirrors the real test. As a resutl I passed my exam.

United States
V
Vineet Kumar
3/6/2026 5:26:16 AM

interesting

Anonymous
J
Joe
1/20/2026 8:25:24 AM

Passed this exam 2 days ago. These questions are in the exam. You are safe to use them.

UNITED STATES
N
NJ
12/24/2025 10:39:07 AM

Helpful to test your preparedness before giving exam

Anonymous
A
Ashwini
12/17/2025 8:24:45 AM

Really helped

Anonymous
J
Jagadesh
12/16/2025 9:57:10 AM

Good explanation

INDIA
S
shobha
11/29/2025 2:19:59 AM

very helpful

INDIA
P
Pandithurai
11/12/2025 12:16:21 PM

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

Anonymous
E
Einstein
11/8/2025 4:13:37 AM

Passed this exam in first appointment. Great resource and valid exam dump.

Anonymous
D
David
10/31/2025 4:06:16 PM

Today I wrote this exam and passed, i totally relay on this practice exam. The questions were very tough, these questions are valid and I encounter the same.

UNITED STATES
T
Thor
10/21/2025 5:16:29 AM

Anyone used this dump recently?

NEW ZEALAND
V
Vladimir
9/25/2025 9:11:14 AM

173 question is A not D

Anonymous
K
khaos
9/21/2025 7:07:26 AM

nice questions

Anonymous
K
Katiso Lehasa
9/15/2025 11:21:52 PM

Thanks for the practice questions they helped me a lot.

Anonymous
E
Einstein
9/2/2025 7:42:00 PM

Passed this exam today. All questions are valid and this is not something you can find in ChatGPT.

UNITED KINGDOM
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