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TeraData TDVAN5復習範囲: HCIA-Datacom V1.0 - Pass4Test練習 &プロフェッショナル認定コース
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TeraData TDVAN5 認定試験の出題範囲:
トピック | 出題範囲 |
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トピック 1 |
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トピック 2 |
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トピック 3 |
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TDVAN5日本語試験情報 & TDVAN5日本語対策
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TeraData HCIA-Datacom V1.0 認定 TDVAN5 試験問題 (Q34-Q39):
質問 # 34
Business users are regularly joining a common set of columns from parquet external data to existing dimension tables. An Administrator needs to improve the performance of these queries where they filter on common columns.
Which strategy can be used to improve performance?
- A. Change the primary index of the foreign server to the filtering columns.
- B. Row partition the parquet table on the filter columns.
- C. Create a foreign server to access the data with column partitioning.
- D. Create a multi-table join index to cover the joined data.
正解:D
解説:
A multi-table join index pre-joins data from multiple tables and stores the result, allowing subsequent queries that perform similar joins to access the pre-joined data directly. This can significantly improve query performance, especially when there is a common set of columns frequently joined between parquet external data and dimension tables.
Option A (Row partition the parquet table on the filter columns): While row partitioning might improve some performance aspects, it's more suited for managing large datasets within Vantage tables and not as effective for parquet external data access.
Option B (Change the primary index of the foreign server to the filtering columns): There is no "primary index" on foreign servers. Foreign data (like parquet) doesn't use Vantage primary index concepts, so this option is not applicable.
Option C (Create a foreign server to access the data with column partitioning): Column partitioning is not typically applicable to external parquet data accessed through a foreign server in the same way it is for native tables. While you can optimize column access, a multi-table join index is more effective for query performance involving frequent joins.
質問 # 35
The Administrator defined the following AWT resource limits in Viewpoint Workload Designer:
* Rule 1: A limit of 50 percent of AWTs for all DSA restore jobs in the system, with reject
* Rule 2: A limit of 20 percent of AWTs for DSA restore jobs from user UserA, with delay
* Rule 3: A limit of 10 percent of AWTs for DSA restore jobs from user UserB, with delay UserB is running DSA restore jobs, consuming 10% of AWTs. Other users are running DSA restore jobs and consuming 40% of AWTs.
What will TASM do if UserA submits a DSA restore job request?
- A. TASM rejects it because it would exceed the AWT limit of Rule 1.
- B. TASM delays it because it would exceed the AWT limit of Rule 1.
- C. TASM rejects it because it does not exceed the AWT limit of Rule 2.
- D. TASM delays it because it does not exceed the AWT limit of Rule 2.
正解:B
解説:
Rule 1 limits all DSA restore jobs in the system to 50% of AWTs. Currently, 40% of AWTs are consumed by other users, and UserB is consuming 10%. So, the total AWT usage is already at the 50% limit.
Since submitting a new DSA restore job from UserA would exceed the 50% limit set in Rule 1, TASM will delay the request, as Rule 1 applies system-wide.
Rule 2 applies specifically to UserA, but Rule 1 takes precedence since the total system AWT usage is already at the global 50% threshold.
Thus, TASM delays the job because it would violate the global AWT limit in Rule 1.
質問 # 36
An Administrator notices that a system appears to be near capacity and needs to access a dictionary to assess that AMPs are entering into flow control.
Which dictionary should be accessed for this purpose?
- A. DBC.SessionInfoV
- B. DBC.ResUsageSawt
- C. DBC.ResUsageSldv
- D. DBC.AMPUsage
正解:B
解説:
The DBC.ResUsageSawt view provides detailed information about the resource usage of AMP Worker Tasks (AWTs), including whether AMPs are experiencing flow control. Flow control occurs when AMPs are overwhelmed and need to throttle the workload, and this view tracks metrics related to AWT usage and system resource contention, which would indicate when AMPs are under strain.
Option A (DBC.SessionInfoV) provides information about current user sessions but does not provide insights into AMP-level flow control or resource usage.
Option C (DBC.AMPUsage) provides general statistics about AMP usage but doesn't give detailed information about flow control or AWT usage.
Option D (DBC.ResUsageSldv) tracks statistics related to logical disk usage but isn't focused on AMP flow control.
質問 # 37
A client has a healthy system but often sees delays in some queries because of workload concurrency limits. These limits have been carefully chosen, so the client needs a solution that will not modify them.
What should the Administrator use to assist this client?
- A. Use Flex Throttle option.
- B. Use a system throttle.
- C. Use Query Group Viewpoint gortjet to change the throttle limit temporally.
正解:A
解説:
Use Query Monitor Viewpoint portlet to change query workloads.
Explanation:
The Flex Throttle option allows the system to temporarily adjust workload concurrency limits based on system conditions. This provides more flexibility when handling spikes in query concurrency, without permanently modifying the established workload limits. Flex Throttle is ideal for handling temporary peaks in activity, helping to smooth out delays while keeping the core concurrency limits intact.
Option A (Use a system throttle) would enforce strict concurrency limits but doesn't provide the flexibility needed in this scenario, where the client is trying to avoid modifying existing limits.
Option B (Use Query Group Viewpoint portlet to change the throttle limit temporarily) suggests manually adjusting the throttle limit, which is not desirable in this case as the limits have been carefully chosen.
Option D (Use Query Monitor Viewpoint portlet to change query workloads) would involve changing the way queries are handled or prioritized but does not address the need to keep concurrency limits unchanged while still dealing with temporary delays.
Thus, Flex Throttle (Option C) provides the best solution to assist the client without altering the concurrency limits permanently.
質問 # 38
An Administrator has been presented with these performance metrics from the DBQLOGTBL table for four queries:
The Administrator needs to identify which query is suspected to be causing a full table scan or large redistribution.
Which query is producing this result?
- A. QRY_C because of UII
- B. QRY_A because of PJI
- C. QRY_B because of IO SKEW
- D. QRY_D because of CPU SKEW
正解:C
解説:
IO SKEW refers to an uneven distribution of I/O operations across AMPs, which can occur during large redistributions or full table scans, as data needs to be read from or written to the entire table. High IO skew indicates that some AMPs are handling significantly more I/O than others, which is often a sign of inefficient data distribution or full table scanning.
QRY_B has an IO SKEW value of 2.76, which is much higher than the other queries, suggesting that it is likely performing a full table scan or large redistribution, as this would result in uneven I/O across AMPs.
CPU SKEW (as seen in QRY_D) could indicate an issue with CPU load balancing, but it doesn't necessarily suggest a full table scan or redistribution.
UII (Utility Impact Index) and PJI (Product Join Index) are also metrics that might indicate query inefficiencies, but the high IO SKEW in QRY_B is the most direct indicator of a full table scan or large redistribution.
QRY_B is the query suspected of causing the full table scan or large redistribution due to its high IO SKEW value.
質問 # 39
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