Certified AI Specialist Exam Discussions & Posts
AI Explanation - verified by muhammadfarooqafzal9
on: June 22, 2026
Question 47:
Question 47 asks how to automate a weekly count of open cases related to each account.
- The exam key says A, but that’s not the best approach. A workflow rule with an outbound message can react to a single record, but it doesn’t perform batch cross-record counting on a schedule.
- B (scheduled process in Process Builder) isn’t ideal for cross-record aggregation across all accounts on a weekly basis; Process Builder isn’t designed for batch counting across related records in one run.
- C (Configure a scheduled flow in Flow Builder) is the correct option. A Scheduled Flow can run weekly, do a Get Records for open cases, count by AccountId (using a loop or a count variable), and then Update the related Account field with the count.
Answer: C) Configure a scheduled flow in Flow Builder.
Islamabad, Pakistan
AI Explanation - verified by User3355
on: June 22, 2026
Question 1:
You're right — the correct answer is D (1).
Explanation:
- Network Security Groups (NSGs) contain the inbound/outbound rules.
- If all five VMs are in the same subnet, you can attach a single NSG to that subnet.
- That one NSG will apply to all NICs in the subnet, giving identical rules to all VMs.
- Attaching NSGs to NICs individually would require up to five NSGs, which is not minimal.
Sandton, South Africa
AI Explanation - verified by User2335
on: June 22, 2026
Question 3:
Explication de la Question 3:
- Objectif: aider une équipe avec de gros besoins de stockage de fichiers centralisés, en conservant des performances de partage locales, de manière opérationnellement efficace.
- Option 1: Déployer un Storage Gateway avec un file gateway et connecter les postes clients. Le gateway expose des partages de fichiers SMB/NFS locaux et stocke les données de manière durable dans S3. C’est une solution éprouvée pour le partage de fichiers centralisé avec cache local et scalabilité.
- Option 2: Migrer les environnements vers Amazon WorkSpaces. Côté stockage, ce n’est pas l’objectif principal et cela n’offre pas un partage de fichiers centralisé performant.
- Option 3: WorkDocs par utilisateur. Plus adapté à la collaboration et au stockage cloud, pas nécessairement optimal pour un partage de fichiers local à grande échelle.
- Option 4: Déployer une instance EC2 avec EBS et partager le volume. EBS n’est pas conçu pour un partage efficace et direct entre de nombreux utilisateurs.
- Conclusion: la solution la plus opérationnellement efficace est le déploiement d’un Storage Gateway avec un file gateway (l’option qui décrit l’usage du gateway pour des partages locaux tout en stockant dans S3).
Note: la banque de questions indique « B », mais la meilleure approche AWS est le Storage Gateway file gateway.
Dakar, Senegal
AI Explanation - verified by User4625
on: June 22, 2026
Question 1:
For Question 1, the provided answer is A: Use of the Snowball Edge appliance for a 10-day period.
Why A is correct (explanation):
- In the Snowball/Edge pricing model, the device rental duration (the period you have the appliance) is covered as part of the service during the initial loan; the 10-day window is the period you can use the device without additional device-use charges.
- After that window, there are ongoing charges for daily device usage.
Why the other options are not free:
- B: The transfer of data out of S3 to the Snowball Edge incurs data-transfer costs; it’s not considered a free activity.
- C: The transfer of data from the Snowball Edge into S3 involves data transfer/storage costs.
- D: Daily use of the Snowball Edge after 10 days would incur ongoing device usage charges.
Key concept:
- Snowball Edge pricing typically includes the device rental period as part of the initial service, but data transfer and continued usage after the rental window are charged separately.
Dakar, Senegal
AI Explanation - verified by User9933
on: June 22, 2026
Question 1:
Here’s the explanation for Question 1.
Why:
- The Snowball Edge appliance is provided for a defined rental window, and the use of the device for the initial period (commonly up to 10 days) is included at no additional cost as part of the job.
- The other options involve data transfers or extended usage, which are charged separately under Snowball pricing. Specifically:
- Transferring data to the device (data movement into the Snowball) and transferring data from the device to Amazon S3 are billed according to Snowball data transfer pricing.
- Daily use of the appliance after the initial period (beyond 10 days) incurs ongoing charges.
In short, the only no-cost activity among the choices is the 10-day appliance usage. If you want, I can elaborate on the pricing details for the other data-transfer scenarios.
Dakar, Senegal
AI Explanation - verified by Hitmanhm
on: June 22, 2026
Question 61:
Kurz gesagt: Die richtige Antwort ist B.
Warum B sinnvoll ist:
- Ziel ist es, die SQS-Backlog pro Instanz zu reduzieren, nicht nur Gesamtauslastung wie Netzwerkin oder CPU zu betrachten.
- Wenn das backlog pro Instance hoch ist, sollten mehr Instanzen bereitgestellt werden, damit die Messages schneller abgearbeitet werden.
Wie man es umsetzt (Kernpunkte):
- Verwende CloudWatch-Metrik-Mathematik, um den backlog pro Instanz zu berechnen.
- Metriken:
- ApproximateNumberOfMessagesVisible aus der SQS-Warteschlange (sichtbare Nachrichten).
- Anzahl aktiver EC2-Instanzen in der ASG (z. B. GroupInService oder GroupTotalInstances aus AWS/AutoScaling).
- Ausdruck (Beispiel): backlog_per_instance = ApproximateNumberOfMessagesVisible / GroupInService.
- Richte eine Target-Tracking-Policy mit dieser benutzerdefinierten Metrik als Zielwert ein (z. B. gewünschter backlog pro Instanz). So reagiert Auto Scaling dynamisch in Echtzeit.
Warum nicht A, C oder D:
- A nutzt
ApproximateNumberOfMessagesDelayed, das spiegelt verzögerte Nachrichten wider, nicht den aktuellen Backlog pro Instanz.
- C und D (Step/Simple Scaling) verwenden feste Schwellenwerte und balancieren den Load pro Instanz nicht automatisch aus.
Prüm, Germany
AI Explanation - verified by User5486
on: June 22, 2026
Question 1:
- Correct options: C and D — Support Group and Owned by Group.
- Why: When a Technology Management Service Offering is related to a Dynamic CI Group, the offering’s Support Group and Owned by Group are synchronized to the member CIs. This maintains consistent operational ownership and support alignment across the CIs in the group.
- Why not A or B: Approval Group and Managed by Group are not synchronized in this scenario, so they aren’t automatically pushed to the member CIs.
Pune, India
AI Explanation - verified by User3099
on: June 22, 2026
Question 1:
Question 1 asks which tools let you view the administrative actions of a service administrator.
- Box 1: Not correct. Search & Intelligence in the admin center is for managing search experiences, usage analytics, bookmarks, acronyms, and Q&As—not for auditing admin actions.
- Box 2: Correct. The Audit feature in the Microsoft Defender portal (security.microsoft.com) can track and investigate user and administrator activities across Microsoft 365, including actions like role changes and device states.
- Box 3: Correct. Microsoft Purview Audit logs track user and administrator actions across Microsoft 365 services for forensic/compliance purposes (standard retention ~180 days; Premium longer).
So the true statements are Box 2 and Box 3 (Box 1 is No). The key you were given showing all Yes appears to be incorrect for Box 1. If you want, I can walk through where to find these logs in each portal.
Stockholm, Sweden
AI Explanation - verified by Thandimhlanga173
on: June 21, 2026
Question 9:
The intended answer is A (Standard).
Here's why in brief:
- Two instances: Free/Shared typically don’t support reliable scaling to multiple instances for production-grade apps; you need a tier that supports multi-instance hosting, which is Standard or higher.
- SSL support: Custom SSL for a domain like miami.weyland.com requires a paid App Service plan. Free/Shared don’t provide proper SSL options for a custom domain.
- Storage: You need about 12 GB. Free/Shared plans have very limited storage, and Basic may fall short on storage capacity depending on the region; Standard provides enough storage to meet/exceed 12 GB.
- Cost minimization: Among tiers that satisfy all three constraints (2 instances, SSL, sufficient storage), Standard is the lowest-cost viable option.
So, Standard is the minimum tier that meets all requirements while keeping costs down. If you’d like, I can compare the exact storage quotas and instance limits from the latest Azure docs to confirm.
Johannesburg, South Africa
AI Explanation - verified by User4939
on: June 21, 2026
Question 24:
Question 24 explanation
- Command:
sourcetype=access_combined | transaction JSESSIONID
- What it does: It groups events by the value of JSESSIONID so events with the same JSESSIONID are combined into a single transaction (one output event per JSESSIONID).
Correct statements:
- A: An additional field named maxspan is created. (Yes)
- B: An additional field named duration is created. (Yes)
- C: An additional field named eventcount is created. (Yes)
- D: Events with the same JSESSIONID will be grouped together into a single event. (Yes)
Thus, all four descriptions are true. The provided answer (B, C, D) is missing A, so it appears to be incorrect. The transaction command typically adds eventcount, duration, and maxspan fields and collapses events with the same grouping field into one transaction event.
Mumbai, India
AI Explanation - verified by User4939
on: June 21, 2026
Question 16:
Question 16 asks: A data model consists of which three types of datasets?
- Answer: The three dataset types are Event datasets, Transaction datasets, and Search datasets. The page lists “Events, searches, transactions” (B), which corresponds to those three types (order doesn’t matter).
Why these are correct:
- Event datasets: contain individual events and define which fields/attributes apply to those events.
- Transaction datasets: group related events into a single logical transaction based on start/end conditions or a transaction ID.
- Search datasets: derived from the results of a saved search or query, used when you want to build a dataset from a specific search.
Why the other options are wrong:
- A: “Constraint, field, value” describes attributes or components, not dataset types.
- C: “Field extraction, regex, delimited” are field extraction methods, not dataset types.
- D: “Transaction, session ID, metadata” mixes a dataset type with metadata concepts, not the three dataset types.
If you want, I can walk through how each dataset type is used in building a data model.
Mumbai, India
AI Explanation - verified by User4939
on: June 21, 2026
Question 15:
Question 15 asks which delimiters the Field Extractor (FX) can detect. The Field Extractor supports delimited field extractions using common separators, including:
So the correct set is Tabs, Pipes, Spaces, and Commas (A,B,C,D). The provided answer (A,B,C) is incomplete—the FX can also detect commas as a delimiter.
Notes:
- Use the delimited extraction when your log lines are structured with a consistent separator.
- If values contain the delimiter or spaces within fields, you may need a regex-based extraction or quoting to avoid incorrect splits.
Mumbai, India
AI Explanation - verified by User4939
on: June 21, 2026
Question 5:
Question 5 asks which delimiters the Field Extractor (FX) can use. The answer key here lists Tabs and Pipes (A and B), but FX actually supports all four: Tabs, Pipes, Colons, and Spaces.
Why: FX creates field extractions by splitting an event on a chosen delimiter. Those four delimiters cover common log formats:
- Tabs:
field1\tfield2
- Pipes:
field1|field2
- Colons:
key:value style splits
- Spaces:
field1 field2 (but watch for multiple spaces or spaces within values)
Caveats:
- Spaces can be tricky if values contain spaces; you may need quoting or a different extraction approach (e.g., regex).
- After selecting a delimiter, verify by testing with sample events to confirm the correct fields are created.
In short: correct choices are A, B, C, and D (all four delimiters). The key you provided omits Colons and Spaces, which are also supported.
Mumbai, India
AI Explanation - verified by User4259
on: June 21, 2026
Question 6:
- The correct answer is C: Evaluating stakeholder needs to determine enterprise objectives.
- Why: In COBIT 2019, governance comprises three interrelated activities: evaluate stakeholder needs to determine objectives, set direction through prioritization and decision making, and monitor performance and compliance against the agreed direction and objectives. This reflects the stakeholder-value principle—governance should ensure stakeholder needs are evaluated to establish balanced objectives.
- Why the other options are not the governance element highlighted here:
- A (Building plans to align with the direction set by the governance body) is more about translating governance direction into plans, which is typically a management activity, not a governance objective by itself.
- B (Monitoring activities designed to achieve enterprise objectives) describes monitoring, which is part of governance in COBIT, but the exam question identifies the core governance element as evaluating stakeholder needs (C).
If you want, I can walk through how these concepts fit into the COBIT 2019 governance vs. management roles.
Seville, Spain
AI Explanation - verified by ramncwanaayanda
on: June 21, 2026
Question 1:
You're right: Android cannot be Azure Entra joined. Entra join is Windows-only; Android and iOS are joined via Entra registered (BYOD).
In Question 173, the typical setup shown is:
- Device1 and Device2 are Windows devices.
- Device3 is Android.
- Device4 is iOS.
Based on that:
- Azure Entra joined: Device1 and Device2 (both Windows).
- Azure Entra registered: Device1, Device2, Device3, Device4 (any OS can be registered for BYOD).
So your claim that only Device1 can be joined would be correct only if Device2 were not Windows. If you can confirm Device2’s OS, I can tailor the answer precisely. If not, the standard interpretation (as shown in the explanation) is: Device1 and Device2 join; all four devices can be registered.
Johannesburg, South Africa
AI Explanation - verified by User2294
on: June 21, 2026
Question 10:
Question 10 asks: From the User menu, which actions can a user select? (Choose three.)
- Log Out (B) — standard option to sign out of the account.
- Elevate Roles (C) — temporarily grants higher permissions to perform tasks that require more access.
- Impersonate Users (D) — allows an admin to act as another user for troubleshooting.
The other options are not typically in the User menu:
- Send Notifications (A) — usually part of Notification settings or event-driven actions.
- Order from Service Catalog (E) — accessed via the Catalog, not the User menu.
- Approve Records (F) — part of workflow approvals, not a User menu action.
So the three correct choices are B, C, and D.
Patna, India
AI Explanation - verified by jjnanthakumar17
on: June 21, 2026
Question 1:
Here’s how to think about Question 1 and why startup scripts via GPO (option C) is the better fit.
- Goal: Ensure the automation scripts run on every newly created VM in the on-prem Hyper-V environment.
- A) SetupComplete.cmd in %windir%\setup\scripts
- Pros: Runs as Windows is being set up.
- Cons: Only reliably executes during the OS deployment/setup phase. If you’re cloning or deploying from existing images, SetupComplete.cmd may not run consistently. Not the most flexible for ongoing provisioning.
- Pros: Easy to assign per-user.
- Cons: Requires a user to log on. If the VM is used as a server or started before any user logs in, the scripts won’t run.
- Pros: Runs at computer startup under the Local SYSTEM context, independent of user logon. Ensures the scripts execute on new VMs as soon as they boot (and on subsequent boots if needed). This is normally the simplest and most reliable method for automated VM configuration in an AD environment.
- D) Place scripts in a VHD
- Not automatic; nothing to trigger execution.
Bottom line: The most robust choice to guarantee the scripts run on new VMs without user interaction is option C, the startup script GPO. Note: the provided explanation in the question mentions a Azure-specific Custom Script extension, which isn’t applicable to on-prem Hyper-V.
Bengaluru, India
AI Explanation - verified by User8719
on: June 21, 2026
Question 82:
Question 82: The correct answer is A (Fuzzing).
- Fuzzing automatically feeds malformed or unexpected inputs to an application to test how it handles them, helping identify input validation weaknesses and runtime vulnerabilities.
- It directly validates resilience against bad inputs, which static analysis or reviews may miss.
- Why the others are less suitable: Continuous deployment focuses on rapid delivery, not vulnerability assessment; Static code analysis checks code quality but may miss runtime input handling; Manual peer review is useful but less systematic for ensuring input resilience.
Lagos, Nigeria
AI Explanation - verified by User3296
on: June 21, 2026
Question 42:
Here’s a focused explanation of Question 42.
What the question asks
- You plan to deploy an Azure NAT gateway (Gateway1) to Vnet1.
- VM1 and VM2 will access the internet via their own public IPs.
- You want to minimize administrative effort.
- You’re asked: what is the minimum number of subnets that Vnet1 must have to support this deployment?
Key Azure NAT Gateway requirements
- The NAT gateway itself must be deployed in a dedicated subnet named GatewaySubnet. This is mandatory.
- If you have an Azure Firewall in the same VNet, it must reside in its own subnet named AzureFirewallSubnet. This is also mandatory.
- The NAT gateway is used to provide outbound internet access for subnets that you attach to it. If VM1 and VM2 live in one subnet, you only need that one subnet to be NAT-enabled; if they reside in multiple subnets, you’d attach NAT to each of those subnets.
Minimum-subnet reasoning
- GatewaySubnet (for Gateway1)
- AzureFirewallSubnet (for FW1)
- The VM subnet(s) that will use NAT (one subnet suffices if VM1 and VM2 share a subnet)
So, the typical minimum is 3 subnets (GatewaySubnet, AzureFirewallSubnet, and at least one VM subnet). If VM1 and VM2 sit in two separate subnets that both require NAT, you’d have 4 subnets.
Note on the answer key
- The provided answer in the material shows 4 (option C). That would be correct if there are two separate VM subnets needing NAT. If VM1 and VM2 share a single subnet, 3 subnets is the minimum. If you want, I can help map the exact subnet layout you have and confirm which minimum applies.
Buffalo, United States
AI Explanation - verified by User2146
on: June 21, 2026
Question 37:
Question 37 asks how to run two Docker containers in Azure Container Instances (ACI) with shared, persistent storage, non-root users, and YAML-based deployment.
Key concepts to meet the requirements:
- Put both containers in a single container group so they share lifecycle, resources, and the local network.
- Use a shared, persistent storage volume backed by Azure File share (azureFile) so data survives container crashes and container restarts.
- Mount the same volume into both containers (volumeMounts) so they can share data and state.
- Ensure containers do not run as root (set non-root user in each container, typically via securityContext with runAsNonRoot: true and runAsUser: <non-root UID>).
Why azureFile?
- Ephemeral volumes (like emptyDir) disappear when containers crash or stop.
- Azure File shares persist independently of container lifecycle, satisfying the persistence and restart requirements.
Example approach (high level):
- Create a container group with two containers.
- Define a volume named, for example, sharedvolume, of type azureFile (provide shareName, storageAccountName, and access details).
- In both containers, mount sharedvolume at the same path (e.g., /data).
- For each container, set securityContext to runAsNonRoot and a non-root runAsUser.
Sample (conceptual):
- containers: [ container1, container2 ]
- volumeMounts: [ { name: sharedvolume, mountPath: /data } ]
- volumes: [ { name: sharedvolume, azureFile: { shareName: "myshare", storageAccountName: "mystorage", storageAccountKey: "...", readOnly: false } } ]
- securityContext for each container: runAsNonRoot: true, runAsUser: 1000
By using a single cont
Bengaluru, India
AI Explanation - verified by User7515
on: June 21, 2026
Question 37:
Question 37 asks how to provide additional safeguards for encrypted data at ALBs by using a unique random session key. The correct approach is to ensure forward secrecy (FS) in TLS.
Why the right answer is D:
- Forward secrecy means the session keys are generated using ephemeral keys (e.g., ECDHE/DHE) during the TLS handshake, so they aren’t derived from the server’s long-term private key. This protects past sessions if the private key is compromised later.
- Changing the ALB policy to a FS-enabled policy ensures the TLS handshake uses ephemeral keys.
Why the other options are not correct:
- A: Simply requiring TLS 1.2 does not guarantee forward secrecy, as TLS 1.2 can use non-ephemeral (RSA) key exchanges depending on the cipher suite.
- B: AWS KMS cannot be used to manage or encrypt per-session TLS session keys on an ALB.
- C: WAF cannot enforce forward secrecy in TLS handshakes; FS is negotiated during TLS, not something WAF enforces.
How to implement (high level):
- In the ALB/or listener settings, choose a security policy that supports forward secrecy (FS-enabled cipher suites, e.g., ECDHE-based suites).
- If your environment supports TLS 1.3, that inherently provides FS as well.
Madrid, Spain
AI Explanation - verified by User1114
on: June 21, 2026
Question 21:
Question 21 asks what to use to transform and visualize a large JSON dataset (1B items) in OneLake, with requirements for parallel processing, minimal data duplication, and fast loading, while performing time-series analysis, anomaly detection, and sharing insights.
Correct answer: PySpark library in a Fabric notebook.
Why PySpark fits:
- Parallel processing: Spark distributes work across a cluster, ideal for 1B items and time-series operations.
- Data handling at scale: PySpark DataFrames/SQL can transform, windowing, and aggregate efficiently without duplicating data.
- Anomaly detection: Spark MLlib provides scalable ML algorithms to perform anomaly detection on large datasets.
- Visualization pathway: In a Fabric notebook, you can surface aggregated results or sample data for plotting with Python visualization libraries, or export results to a BI tool.
Why the other options are less suitable:
- Pandas in a Fabric notebook: memory-bound, not designed for trillion-row-scale workloads; would struggle with 1B items.
- Power BI with core visuals: excellent for consumption and sharing visuals, but not a scalable compute engine for transforming and anomaly-detecting on huge datasets. Visualization alone doesn’t meet the parallel processing and large-scale processing requirements.
So for the stated goals, PySpark in a Fabric notebook best meets the needs of parallel processing, minimal data duplication, and faster load/processing times.
Adelaide, Australia
AI Explanation - verified by harshahari774
on: June 21, 2026
Question 36:
The correct answer is C) GitHub Copilot Enterprise.
Why:
- Copilot Enterprise is designed for organizations needing enterprise-grade identity management. It supports integration with identity providers (IdPs) like Okta, enabling SSO and SCIM provisioning to add/remove users automatically.
- This centralized user management is the most cost-effective option for large teams, since admin overhead and licensing can scale more efficiently with an IdP rather than managing many individual accounts.
- Other plans (Individual, Team/Business) don’t offer the same level of enterprise identity provisioning and centralized admin features, making Enterprise the best fit when you’re migrating from Bitbucket and require seamless IdP-based user management.
Kakinada, India
AI Explanation - verified by User6635
on: June 21, 2026
Question 3:
?????3?????????????????
- ?????: AWS Organizations ???????????????????????? S3 ?????????????????????????????????????????????????????????????
- A: ????????? aws:PrincipalOrgID ????????????????? ID ???????????????????????????????
- B: aws:PrincipalOrgPaths ? OU ???????????????????????????? overhead ?????
- C: CloudTrail ???????????????????????????????????????????
- D: aws:PrincipalTag ???????????????????????????????????????
- ??: A ???????????????????????
??: aws:PrincipalOrgID ? Organization ???????????????????????????????????????? OU ?????????????
Minato, Japan
YoutubeAndPray
on: June 12, 2026
This exam was very hard and I wouldn't have made it without some exam dumps. Real exam questions were a lifesaver even though I'm exhausted.
Ghana
DevOps_Rach
on: June 11, 2026
The AI Assistant and braindumps were the only things keeping me afloat in this challenging exam. Without them passing would have been a doubtful prospect.
Ireland
9to5_and_study
on: May 31, 2026
Real exam questions were a nightmare but teh braindumps helped make sense of them. The AI Assistant was useful to avoid getting stuck too long on the challenging exam parts.
Austria
OneMoreRetake
on: May 31, 2026
Passed it but this exam was harder than I thought and teh real exam questions were nothing like the dumps I used.
Greece
SecOpsGuy
on: May 29, 2026
Underestimated this exam and had to grind hard through the exam dumps and real exam questions to finally pass. The AI Assistant didn't make it much easier.
Philippines
always_learning_a
on: May 27, 2026
teh exam was very hard and even with real exam questions and brain dumps it caught me off guard. Had to rely on the AI Assistant more than I anticipated.
Romania
GrindNeverStops
on: May 22, 2026
Finished yesterday and this exam was very hard. Exam dumps definitely helped even though the stress was real.
Norway
layla_it_uae
on: May 21, 2026
Took two attempts but the exam dumps helped with those very hard sections that kept tripping me up. Real exam quetions were spot on although the AI Assistant was not much help.
Saudi Arabia
mark_passed_aws
on: May 16, 2026
Spent weeks on the exam dumps only to find the real exam questions were very hard and unexpected. The AI Assistant was helpful but this exam was still a serious challenge.
Turkey
AlmostGaveUp_J
on: May 15, 2026
Underestimated this exam and had to grind through countless brain dumps. It was very hard but the exam dumps eventually got me through.
Mexico
ines_cloudsec
on: May 12, 2026
Took two attempts to clear this exam but the braindumps and AI Assistant were helpful. Real exam quetions were very hard and I was not sure I would pass.
Australia
SnowflakeSteve
on: May 10, 2026
Finally done with this exam after struggling throgh the real exam questions and sifting endless brain dumps. Very hard to get through but those dumps were my only advantage.
Netherlands
zt_zealot
on: May 08, 2026
Three weeks of intense study and the brain dumps still couldn't prepare me for how very hard this exam turned out to be. Real exam quetions were unlike what I encountered in practice tests and surprised me with unexpected twists.
Hong Kong
mark_passed_aws
on: April 26, 2026
Took two attempts but managed to pass this exam with the help of new exam dumps and reviewing lots of real exam questions.
Indonesia
it_dad_of_3
on: April 24, 2026
Underestimated how hard this exam was and ended up diving deeply into exam dumps until it finally clicked. Couldn't have done it without the real exam questions and my own persistence.
Luxembourg
liam_secops
on: April 23, 2026
The real exam questions in this exam caught me off guard and the dumps didn't help much with the unexpected twists. The challenging exam content made me question my prep but the AI Assistant offered some clarity in the end.
Belgium
PaloAlto_Pat
on: April 22, 2026
Took two attempts to pass this exam with the help of exam dumps as a last resort after finding the real exam quetions very hard to comprehend.
Kenya
mike_t_2024
on: April 22, 2026
Spent weeks on braindumps and the AI Assistant figuring out this very hard exam. Wasn't sure I'd pass but just glad it's over now.
New Zealand
OneMoreRetake
on: April 19, 2026
Took two attempts and still found this exam very hard since even with brain dumps you never know what real exam questions you'll face. The AI Assistant was helpful to understand some tricky topics but stress levels were real.
Saudi Arabia
SecOpsGuy
on: April 19, 2026
Spent several nights going over exam dumps and real exam questions yet this exam was very hard and stressful to get through.
Czech Republic
LastMinuteLearner
on: April 15, 2026
Underestimated this exam adn had to grind through several brain dumps just to make it through. It was very hard but the real exam questions I studied helped a lot.
Luxembourg
sam_azure_guy
on: April 11, 2026
Spent weeks stressing over this exam and brain dumps were my last resort. Managed to pass but it was very hard.
Indonesia
SkippedTheBook
on: March 30, 2026
Three weeks of studying felt pointless after this exam because many real exam questions caught me off guard with there complexity. Spent so much time on brain dumps only to find myself struggling through a very hard test.
Pakistan
PassedOnThird
on: March 27, 2026
The exam was very hard adn it took real exam questions alongside braindumps to finally pass.
Colombia
k8s_kevin
on: March 27, 2026
Real exam quetions were very hard but the exam dumps helped fill in the gaps. The AI Assistant wasn't much use.
South Africa
OneMoreRetake
on: March 25, 2026
Finally done with this exam and it was very hard despite using exam dumps and the AI Assistant. I felt drained but honestly the brain dumps were a necessary last resort for me to pass.
United Kingdom